Initialize standalone Mi Fitness MCP repository

.gitignore

@@ -0,0 +1,29 @@
+.venv/
+__pycache__/
+*.pyc
+*.pyo
+*.pyd
+.Python
+*.so
+*.egg
+*.egg-info/
+dist/
+build/
+*.db
+*.sqlite3
+.DS_Store
+.env
+.env.local
+*.log
+.pytest_cache/
+.coverage
+htmlcov/
+.tox/
+.mypy_cache/
+.dmypy.json
+*.iml
+.idea/
+.vscode/
+*.swp
+*.swo
+*~

README.md

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+# Mi Fitness MCP
+
+Отдельный MCP-сервер для `Mi Fitness`.
+
+Подтверждённые данные:
+
+- шаги
+- калории
+- пульс
+- вес и состав тела
+
+## Установка
+
+```bash
+python -m venv .venv
+source .venv/bin/activate
+pip install -e "."
+```
+
+## Команды
+
+```bash
+mi-fitness-mcp setup --mode mi_fitness_cloud --user-id "<userId>" --pass-token "<passToken>" --region ru
+mi-fitness-mcp doctor
+mi-fitness-mcp sync --start-date 2025-04-01 --end-date 2025-05-31
+mi-fitness-mcp serve
+```
+
+## Настройка Claude Desktop
+
+```json
+{
+  "mcpServers": {
+    "mi-fitness": {
+      "command": "mi-fitness-mcp",
+      "args": ["serve"]
+    }
+  }
+}
+```

mcp-server-config.example.json

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+{
+  "mcpServers": {
+    "mi-fitness": {
+      "command": "mi-fitness-mcp",
+      "args": ["serve"]
+    }
+  }
+}

probe_mifitness.py

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+import argparse
+import base64
+import getpass
+import hashlib
+import json
+import os
+import random
+import struct
+from datetime import datetime
+from urllib.parse import urlencode
+
+import httpx
+
+
+LOGIN_PREFIX = b"&&&START&&&"
+DEFAULT_KEYS = [
+    "weight",
+    "steps",
+    "step",
+    "activity",
+    "sleep",
+    "heart_rate",
+    "heartrate",
+    "hr",
+    "sport",
+    "workout",
+    "calories",
+]
+DEFAULT_REGIONS = ["cn", "de", "i2", "ru", "sg", "us"]
+
+
+def parse_args() -> argparse.Namespace:
+    parser = argparse.ArgumentParser(prog="probe_mifitness")
+    parser.add_argument("--username")
+    parser.add_argument("--password")
+    parser.add_argument("--token")
+    parser.add_argument("--user-id")
+    parser.add_argument("--pass-token")
+    parser.add_argument("--start-date", default="2025-04-01")
+    parser.add_argument("--end-date", default="2025-05-31")
+    parser.add_argument("--regions", nargs="*", default=DEFAULT_REGIONS)
+    parser.add_argument("--keys", nargs="*", default=DEFAULT_KEYS)
+    return parser.parse_args()
+
+
+def md5_upper(text: str) -> str:
+    return hashlib.md5(text.encode()).hexdigest().upper()
+
+
+def read_login_payload(text: str) -> dict:
+    body = text.encode()
+    if not body.startswith(LOGIN_PREFIX):
+        raise RuntimeError("unexpected Xiaomi login response")
+    return json.loads(body[len(LOGIN_PREFIX):].decode())
+
+
+def rc4_crypt(key: bytes, payload: bytes) -> bytes:
+    s = list(range(256))
+    j = 0
+    key_len = len(key)
+    for i in range(256):
+        j = (j + s[i] + key[i % key_len]) % 256
+        s[i], s[j] = s[j], s[i]
+    i = 0
+    j = 0
+
+    def next_byte() -> int:
+        nonlocal i, j
+        i = (i + 1) % 256
+        j = (j + s[i]) % 256
+        s[i], s[j] = s[j], s[i]
+        return s[(s[i] + s[j]) % 256]
+
+    for _ in range(1024):
+        next_byte()
+
+    out = bytearray()
+    for b in payload:
+        out.append(b ^ next_byte())
+    return bytes(out)
+
+
+def gen_nonce() -> bytes:
+    raw = bytearray(os.urandom(8))
+    raw.extend(struct.pack(">I", int(datetime.now().timestamp() // 60)))
+    return bytes(raw)
+
+
+def gen_signed_nonce(ssecurity: bytes, nonce: bytes) -> bytes:
+    return hashlib.sha256(ssecurity + nonce).digest()
+
+
+def gen_signature(method: str, path: str, values: dict[str, str], signed_nonce: bytes) -> str:
+    base = method + "&" + path + "&data=" + values["data"]
+    if "rc4_hash__" in values:
+        base += "&rc4_hash__=" + values["rc4_hash__"]
+    base += "&" + base64.b64encode(signed_nonce).decode()
+    return base64.b64encode(hashlib.sha1(base.encode()).digest()).decode()
+
+
+class MiFitnessProbe:
+    def __init__(self) -> None:
+        self.client = httpx.Client(timeout=30.0, follow_redirects=False)
+        self.sid = "miothealth"
+        self.cookies = ""
+        self.ssecurity = b""
+        self.pass_token = ""
+        self.user_id = 0
+
+    def login(self, username: str, password: str) -> None:
+        info = self.service_login()
+        auth = self.service_login2(info, username, password)
+        self.service_login3(auth["location"])
+
+    def login_with_token(self, token: str | None = None, user_id: str | None = None, pass_token: str | None = None) -> None:
+        if token:
+            user_id, pass_token = token.split(":", 1)
+        if not user_id or not pass_token:
+            raise RuntimeError("token login requires user_id and pass_token")
+
+        response = self.client.get(
+            f"https://account.xiaomi.com/pass/serviceLogin?_json=true&sid={self.sid}",
+            headers={"Cookie": f"userId={user_id}; passToken={pass_token}"},
+        )
+        response.raise_for_status()
+        payload = read_login_payload(response.text)
+        if "passToken" not in payload or "ssecurity" not in payload or "userId" not in payload or "location" not in payload:
+            details = {
+                "keys": sorted(payload.keys()),
+                "code": payload.get("code"),
+                "description": payload.get("description"),
+                "desc": payload.get("desc"),
+                "location": payload.get("location"),
+            }
+            raise RuntimeError(f"xiaomi token login failed; details={json.dumps(details, ensure_ascii=False)}")
+        self.pass_token = payload["passToken"]
+        self.ssecurity = base64.b64decode(payload["ssecurity"])
+        self.user_id = int(payload["userId"])
+        self.service_login3(payload["location"])
+
+    def service_login(self) -> dict:
+        response = self.client.get(f"https://account.xiaomi.com/pass/serviceLogin?_json=true&sid={self.sid}")
+        response.raise_for_status()
+        return read_login_payload(response.text)
+
+    def service_login2(self, info: dict, username: str, password: str) -> dict:
+        form = {
+            "_json": "true",
+            "hash": md5_upper(password),
+            "sid": info["sid"],
+            "callback": info["callback"],
+            "_sign": info["_sign"],
+            "qs": info["qs"],
+            "user": username,
+        }
+        device_id = "".join(random.choice("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789") for _ in range(16))
+        response = self.client.post(
+            "https://account.xiaomi.com/pass/serviceLoginAuth2",
+            headers={
+                "Cookie": f"deviceId={device_id}",
+                "Content-Type": "application/x-www-form-urlencoded",
+            },
+            content=urlencode(form),
+        )
+        response.raise_for_status()
+        payload = read_login_payload(response.text)
+        if "passToken" not in payload or "ssecurity" not in payload or "userId" not in payload:
+            message = payload.get("description") or payload.get("desc") or payload.get("message")
+            details = {
+                "keys": sorted(payload.keys()),
+                "code": payload.get("code"),
+                "description": payload.get("description"),
+                "desc": payload.get("desc"),
+                "captchaUrl": payload.get("captchaUrl"),
+                "notificationUrl": payload.get("notificationUrl"),
+                "location": payload.get("location"),
+            }
+            raise RuntimeError(f"xiaomi login failed: {message or 'missing auth tokens'}; details={json.dumps(details, ensure_ascii=False)}")
+        self.pass_token = payload["passToken"]
+        self.ssecurity = base64.b64decode(payload["ssecurity"])
+        self.user_id = int(payload["userId"])
+        return payload
+
+    def service_login3(self, location: str) -> None:
+        response = self.client.get(location)
+        response.raise_for_status()
+        cookie_parts = []
+        for value in response.headers.get_list("set-cookie"):
+            cookie_parts.append(value.split(";", 1)[0])
+        self.cookies = "; ".join(cookie_parts)
+
+    def request(self, base_url: str, api_path: str, params: dict) -> dict:
+        form = {"data": json.dumps(params, separators=(",", ":"))}
+        nonce = gen_nonce()
+        signed_nonce = gen_signed_nonce(self.ssecurity, nonce)
+        form["rc4_hash__"] = gen_signature("POST", api_path, form, signed_nonce)
+
+        encrypted = {}
+        for key, value in form.items():
+            encrypted[key] = base64.b64encode(rc4_crypt(signed_nonce, value.encode())).decode()
+
+        encrypted["signature"] = gen_signature("POST", api_path, encrypted, signed_nonce)
+        encrypted["_nonce"] = base64.b64encode(nonce).decode()
+
+        response = self.client.post(
+            base_url + api_path,
+            headers={
+                "Cookie": self.cookies,
+                "Content-Type": "application/x-www-form-urlencoded",
+            },
+            content=urlencode(encrypted),
+        )
+        response.raise_for_status()
+        plaintext = rc4_crypt(signed_nonce, base64.b64decode(response.text))
+        payload = json.loads(plaintext)
+        if payload.get("code") != 0:
+            raise RuntimeError(payload.get("message", "unknown mi fitness error"))
+        return payload.get("result", {})
+
+
+def region_base(region: str) -> str:
+    if region in ("", "cn"):
+        return "https://hlth.io.mi.com"
+    return f"https://{region}.hlth.io.mi.com"
+
+
+def sample_view(items: list[dict]) -> str:
+    if not items:
+        return "[]"
+    return json.dumps(items[:2], ensure_ascii=False)[:700]
+
+
+def run_probe(args: argparse.Namespace) -> None:
+    probe = MiFitnessProbe()
+
+    if args.token or (args.user_id and args.pass_token):
+        probe.login_with_token(token=args.token, user_id=args.user_id, pass_token=args.pass_token)
+    else:
+        username = args.username or input("Xiaomi login (email/phone): ").strip()
+        password = args.password or getpass.getpass("Xiaomi password: ")
+        probe.login(username, password)
+
+    print(f"login ok: user_id={probe.user_id}")
+
+    for region in args.regions:
+        base = region_base(region)
+        print(f"\n=== region={region} base={base} ===")
+        for key in args.keys:
+            try:
+                result = probe.request(
+                    base,
+                    "/app/v1/data/get_fitness_data_by_time",
+                    {
+                        "start_time": int(datetime.fromisoformat(args.start_date).timestamp()),
+                        "end_time": int(datetime.fromisoformat(args.end_date + "T23:59:59").timestamp()),
+                        "key": key,
+                    },
+                )
+                data_list = result.get("data_list", [])
+                print(f"key={key} count={len(data_list)} has_more={result.get('has_more')} next_key={bool(result.get('next_key'))}")
+                if data_list:
+                    print(sample_view(data_list))
+            except Exception as exc:
+                print(f"key={key} error={exc}")
+
+
+if __name__ == "__main__":
+    run_probe(parse_args())

pyproject.toml

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+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[project]
+name = "mi-fitness-mcp"
+version = "0.1.0"
+description = "MCP server for Mi Fitness data access"
+readme = "README.md"
+license = {text = "MIT"}
+requires-python = ">=3.11"
+classifiers = [
+    "Development Status :: 3 - Alpha",
+    "Intended Audience :: End Users/Desktop",
+    "License :: OSI Approved :: MIT License",
+    "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "Programming Language :: Python :: 3.13",
+]
+dependencies = [
+    "mcp>=1.0.0",
+    "pydantic>=2.0.0",
+    "httpx>=0.27.0",
+    "platformdirs>=4.0.0",
+    "keyring>=25.0.0",
+    "click>=8.0.0",
+    "rich>=13.0.0",
+]
+
+[project.optional-dependencies]
+dev = [
+    "pytest>=8.0.0",
+    "pytest-asyncio>=0.23.0",
+    "respx>=0.21.0",
+    "ruff>=0.4.0",
+]
+
+[project.scripts]
+mi-fitness-mcp = "mi_fitness_mcp.cli_mi_fitness:main"
+
+[tool.hatch.build.targets.wheel]
+packages = ["src/mi_fitness_mcp"]
+
+[tool.ruff]
+target-version = "py311"
+line-length = 100
+select = ["E", "F", "I", "N", "W", "UP", "B", "C4", "SIM"]
+ignore = ["E501"]
+
+[tool.ruff.format]
+quote-style = "double"
+indent-style = "space"
+
+[tool.pytest.ini_options]
+testpaths = ["tests"]
+asyncio_mode = "auto"

src/mi_fitness_mcp/__init__.py

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+"""Mi Fitness MCP server."""
+
+__version__ = "0.1.0"

src/mi_fitness_mcp/adapters/base.py

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+"""Base adapter interface for data sources."""
+
+from abc import ABC, abstractmethod
+from collections.abc import AsyncIterator, Iterator
+from pathlib import Path
+from typing import Any, Coroutine, Union
+
+from mi_fitness_mcp.models import (
+    BodyMeasurement,
+    DailyActivity,
+    HeartRateSample,
+    SleepSession,
+    Workout,
+)
+
+
+class DataAdapter(ABC):
+    """Abstract base class for data source adapters."""
+
+    @abstractmethod
+    def connect(self) -> Union[bool, "Coroutine[Any, Any, bool]"]:
+        """Connect to data source.
+        
+        Returns:
+            True if connection successful
+        """
+        pass
+
+    @abstractmethod
+    def is_connected(self) -> bool:
+        """Check if connected to data source."""
+        pass
+
+    @abstractmethod
+    def get_user_id(self) -> str | None:
+        """Get user identifier from data source."""
+        pass
+
+    @abstractmethod
+    def iter_daily_activity(
+        self,
+        start_date: str | None = None,
+        end_date: str | None = None,
+    ) -> Union[Iterator[DailyActivity], AsyncIterator[DailyActivity]]:
+        """Iterate over daily activity records."""
+        pass
+
+    @abstractmethod
+    def iter_sleep_sessions(
+        self,
+        start_date: str | None = None,
+        end_date: str | None = None,
+    ) -> Union[Iterator[SleepSession], AsyncIterator[SleepSession]]:
+        """Iterate over sleep session records."""
+        pass
+
+    @abstractmethod
+    def iter_workouts(
+        self,
+        start_date: str | None = None,
+        end_date: str | None = None,
+    ) -> Union[Iterator[Workout], AsyncIterator[Workout]]:
+        """Iterate over workout records."""
+        pass
+
+    @abstractmethod
+    def iter_body_measurements(
+        self,
+        start_date: str | None = None,
+        end_date: str | None = None,
+    ) -> Union[Iterator[BodyMeasurement], AsyncIterator[BodyMeasurement]]:
+        """Iterate over body measurement records."""
+        pass
+
+    @abstractmethod
+    def iter_heart_rate(
+        self,
+        start_date: str | None = None,
+        end_date: str | None = None,
+    ) -> Union[Iterator[HeartRateSample], AsyncIterator[HeartRateSample]]:
+        """Iterate over heart rate records."""
+        pass
+
+    @abstractmethod
+    def get_available_data_types(self) -> list[str]:
+        """Get list of available data types."""
+        pass

src/mi_fitness_mcp/adapters/mi_fitness_cloud.py

@@ -0,0 +1,349 @@
+import base64
+import hashlib
+import json
+import os
+import random
+import struct
+from collections import defaultdict
+from collections.abc import AsyncIterator
+from datetime import UTC, datetime
+from typing import Any
+from urllib.parse import urlencode
+
+import httpx
+
+from mi_fitness_mcp.adapters.base import DataAdapter
+from mi_fitness_mcp.models import BodyMeasurement, DailyActivity, HeartRateSample, SleepSession, Workout
+
+
+LOGIN_PREFIX = b"&&&START&&&"
+KNOWN_REGIONS = ["ru", "cn", "de", "i2", "sg", "us"]
+
+
+def _read_login_payload(text: str) -> dict:
+    payload = text.encode()
+    if not payload.startswith(LOGIN_PREFIX):
+        raise RuntimeError("unexpected Xiaomi login response")
+    return json.loads(payload[len(LOGIN_PREFIX):].decode())
+
+
+def _rc4_crypt(key: bytes, payload: bytes) -> bytes:
+    s = list(range(256))
+    j = 0
+    key_len = len(key)
+    for i in range(256):
+        j = (j + s[i] + key[i % key_len]) % 256
+        s[i], s[j] = s[j], s[i]
+    i = 0
+    j = 0
+
+    def next_byte() -> int:
+        nonlocal i, j
+        i = (i + 1) % 256
+        j = (j + s[i]) % 256
+        s[i], s[j] = s[j], s[i]
+        return s[(s[i] + s[j]) % 256]
+
+    for _ in range(1024):
+        next_byte()
+
+    output = bytearray()
+    for value in payload:
+        output.append(value ^ next_byte())
+    return bytes(output)
+
+
+def _gen_nonce() -> bytes:
+    raw = bytearray(os.urandom(8))
+    raw.extend(struct.pack(">I", int(datetime.now().timestamp() // 60)))
+    return bytes(raw)
+
+
+def _gen_signed_nonce(ssecurity: bytes, nonce: bytes) -> bytes:
+    return hashlib.sha256(ssecurity + nonce).digest()
+
+
+def _gen_signature(method: str, path: str, values: dict[str, str], signed_nonce: bytes) -> str:
+    base = method + "&" + path + "&data=" + values["data"]
+    if "rc4_hash__" in values:
+        base += "&rc4_hash__=" + values["rc4_hash__"]
+    base += "&" + base64.b64encode(signed_nonce).decode()
+    return base64.b64encode(hashlib.sha1(base.encode()).digest()).decode()
+
+
+class MiFitnessCloudAdapter(DataAdapter):
+    def __init__(self, user_id: str | None = None, pass_token: str | None = None, region: str = "ru"):
+        self.user_id = user_id
+        self.pass_token = pass_token
+        self.region = region
+        self._cookies = ""
+        self._ssecurity = b""
+        self._client: httpx.AsyncClient | None = None
+        self._connected = False
+        self._available_types: list[str] = []
+
+    async def connect(self) -> bool:
+        if not self.user_id or not self.pass_token:
+            return False
+
+        self._client = httpx.AsyncClient(timeout=30.0, follow_redirects=False)
+
+        try:
+            await self._login_with_token(self.user_id, self.pass_token)
+            self.region = await self._discover_region(self.region)
+            self._available_types = await self._discover_data_types()
+            self._connected = True
+            return True
+        except Exception:
+            self._connected = False
+            return False
+
+    def is_connected(self) -> bool:
+        return self._connected and self._client is not None
+
+    def get_user_id(self) -> str | None:
+        return self.user_id
+
+    def get_available_data_types(self) -> list[str]:
+        return self._available_types.copy()
+
+    async def _login_with_token(self, user_id: str, pass_token: str) -> None:
+        if not self._client:
+            raise RuntimeError("client not initialized")
+
+        response = await self._client.get(
+            "https://account.xiaomi.com/pass/serviceLogin?_json=true&sid=miothealth",
+            headers={"Cookie": f"userId={user_id}; passToken={pass_token}"},
+        )
+        response.raise_for_status()
+        payload = _read_login_payload(response.text)
+        self.pass_token = payload["passToken"]
+        self.user_id = str(payload["userId"])
+        self._ssecurity = base64.b64decode(payload["ssecurity"])
+
+        redirect = await self._client.get(payload["location"])
+        redirect.raise_for_status()
+        cookie_parts = [value.split(";", 1)[0] for value in redirect.headers.get_list("set-cookie")]
+        self._cookies = "; ".join(cookie_parts)
+
+    async def _request(self, base_url: str, api_path: str, payload: dict) -> dict:
+        if not self._client:
+            raise RuntimeError("client not initialized")
+
+        form = {"data": json.dumps(payload, separators=(",", ":"))}
+        nonce = _gen_nonce()
+        signed_nonce = _gen_signed_nonce(self._ssecurity, nonce)
+        form["rc4_hash__"] = _gen_signature("POST", api_path, form, signed_nonce)
+
+        encrypted: dict[str, str] = {}
+        for key, value in form.items():
+            encrypted[key] = base64.b64encode(_rc4_crypt(signed_nonce, value.encode())).decode()
+
+        encrypted["signature"] = _gen_signature("POST", api_path, encrypted, signed_nonce)
+        encrypted["_nonce"] = base64.b64encode(nonce).decode()
+
+        response = await self._client.post(
+            base_url + api_path,
+            headers={
+                "Cookie": self._cookies,
+                "Content-Type": "application/x-www-form-urlencoded",
+            },
+            content=urlencode(encrypted),
+        )
+        response.raise_for_status()
+        plaintext = _rc4_crypt(signed_nonce, base64.b64decode(response.text))
+        body = json.loads(plaintext)
+        if body.get("code") != 0:
+            raise RuntimeError(body.get("message", "unknown mi fitness error"))
+        return body.get("result", {})
+
+    async def _fetch_key(self, key: str, start_date: str, end_date: str, region: str | None = None) -> list[dict]:
+        region_name = region or self.region
+        base_url = "https://hlth.io.mi.com" if region_name in ("", "cn") else f"https://{region_name}.hlth.io.mi.com"
+        start_time = int(datetime.fromisoformat(start_date).replace(tzinfo=UTC).timestamp())
+        end_time = int(datetime.fromisoformat(end_date + "T23:59:59").replace(tzinfo=UTC).timestamp())
+        next_key = None
+        items: list[dict] = []
+
+        while True:
+            payload = {
+                "start_time": start_time,
+                "end_time": end_time,
+                "key": key,
+            }
+            if next_key:
+                payload["next_key"] = next_key
+
+            result = await self._request(base_url, "/app/v1/data/get_fitness_data_by_time", payload)
+            items.extend(result.get("data_list", []))
+            if not result.get("has_more") or not result.get("next_key"):
+                break
+            next_key = result.get("next_key")
+
+        return items
+
+    async def _discover_region(self, preferred_region: str) -> str:
+        candidates = [preferred_region] + [region for region in KNOWN_REGIONS if region != preferred_region]
+        for region in candidates:
+            for key in ("weight", "steps", "heart_rate"):
+                try:
+                    result = await self._fetch_key(key, "2025-04-01", "2025-05-31", region=region)
+                    if result:
+                        return region
+                except Exception:
+                    continue
+        return preferred_region
+
+    async def _discover_data_types(self) -> list[str]:
+        types: list[str] = []
+        probes = {
+            "daily_activity": "steps",
+            "heart_rate": "heart_rate",
+            "body_measurements": "weight",
+        }
+        for data_type, key in probes.items():
+            try:
+                items = await self._fetch_key(key, "2025-04-01", "2025-05-31")
+                if items:
+                    types.append(data_type)
+            except Exception:
+                continue
+        return types
+
+    def _record_datetime(self, item: dict) -> datetime:
+        timestamp = int(item.get("time", 0))
+        zone_offset = int(item.get("zone_offset", 0))
+        return datetime.fromtimestamp(timestamp + zone_offset, tz=UTC).replace(tzinfo=None)
+
+    def _parse_value(self, item: dict) -> dict[str, Any]:
+        raw = item.get("value", "{}")
+        if isinstance(raw, dict):
+            return raw
+        return json.loads(raw)
+
+    def _optional_float(self, value: Any) -> float | None:
+        if value is None:
+            return None
+        parsed = float(value)
+        return None if parsed == 0 else parsed
+
+    def _optional_int(self, value: Any) -> int | None:
+        if value is None:
+            return None
+        parsed = int(float(value))
+        return None if parsed == 0 else parsed
+
+    async def iter_daily_activity(
+        self,
+        start_date: str | None = None,
+        end_date: str | None = None,
+    ) -> AsyncIterator[DailyActivity]:
+        if not self.is_connected() or not start_date or not end_date:
+            return
+            yield
+
+        records = await self._fetch_key("steps", start_date, end_date)
+        daily: dict[str, dict[str, float]] = defaultdict(lambda: {"steps": 0, "distance_m": 0.0, "active_kcal": 0.0})
+        for item in records:
+            payload = self._parse_value(item)
+            date_str = self._record_datetime(item).strftime("%Y-%m-%d")
+            daily[date_str]["steps"] += int(payload.get("steps", 0))
+            daily[date_str]["distance_m"] += float(payload.get("distance", 0))
+            daily[date_str]["active_kcal"] += float(payload.get("calories", 0))
+
+        calorie_records = await self._fetch_key("calories", start_date, end_date)
+        calorie_totals: dict[str, float] = defaultdict(float)
+        for item in calorie_records:
+            payload = self._parse_value(item)
+            date_str = self._record_datetime(item).strftime("%Y-%m-%d")
+            calorie_totals[date_str] += float(payload.get("calories", 0))
+
+        for date_str, total in calorie_totals.items():
+            daily[date_str]["active_kcal"] = total
+
+        for date_str, values in sorted(daily.items()):
+            yield DailyActivity(
+                id=f"mi_fitness_activity_{date_str}",
+                provider="mi_fitness",
+                source_type="cloud_session",
+                user_id=self.user_id or "unknown",
+                date=date_str,
+                steps=int(values["steps"]),
+                distance_m=values["distance_m"],
+                active_kcal=values["active_kcal"],
+            )
+
+    async def iter_sleep_sessions(
+        self,
+        start_date: str | None = None,
+        end_date: str | None = None,
+    ) -> AsyncIterator[SleepSession]:
+        if False:
+            yield
+
+    async def iter_workouts(
+        self,
+        start_date: str | None = None,
+        end_date: str | None = None,
+    ) -> AsyncIterator[Workout]:
+        if False:
+            yield
+
+    async def iter_body_measurements(
+        self,
+        start_date: str | None = None,
+        end_date: str | None = None,
+    ) -> AsyncIterator[BodyMeasurement]:
+        if not self.is_connected() or not start_date or not end_date:
+            return
+            yield
+
+        records = await self._fetch_key("weight", start_date, end_date)
+        for item in records:
+            payload = self._parse_value(item)
+            measured_at = self._record_datetime(item)
+            yield BodyMeasurement(
+                id=f"mi_fitness_weight_{int(item.get('time', 0))}",
+                provider="mi_fitness",
+                source_type="cloud_session",
+                user_id=self.user_id or "unknown",
+                timestamp=measured_at,
+                weight_kg=float(payload.get("weight", 0)),
+                bmi=float(payload["bmi"]) if payload.get("bmi") is not None else None,
+                body_fat_pct=self._optional_float(payload.get("body_fat_rate")),
+                muscle_mass_kg=self._optional_float(payload.get("muscle_rate")),
+                water_pct=self._optional_float(payload.get("moisture_rate")),
+                bone_mass_kg=self._optional_float(payload.get("bone_mass")),
+                visceral_fat_score=self._optional_int(payload.get("visceral_fat")),
+                basal_metabolism_kcal=self._optional_int(payload.get("basal_metabolism")),
+                metabolic_age=self._optional_int(payload.get("body_age")),
+            )
+
+    async def iter_heart_rate(
+        self,
+        start_date: str | None = None,
+        end_date: str | None = None,
+    ) -> AsyncIterator[HeartRateSample]:
+        if not self.is_connected() or not start_date or not end_date:
+            return
+            yield
+
+        records = await self._fetch_key("heart_rate", start_date, end_date)
+        for item in records:
+            payload = self._parse_value(item)
+            sample_type = "passive" if int(payload.get("type", 0)) == 0 else "active"
+            yield HeartRateSample(
+                id=f"mi_fitness_hr_{int(item.get('time', 0))}",
+                provider="mi_fitness",
+                source_type="cloud_session",
+                user_id=self.user_id or "unknown",
+                timestamp=self._record_datetime(item),
+                bpm=int(payload.get("bpm", 0)),
+                sample_type=sample_type,
+            )
+
+    async def close(self) -> None:
+        if self._client:
+            await self._client.aclose()
+            self._client = None
+            self._connected = False

src/mi_fitness_mcp/auth/__init__.py

@@ -0,0 +1,32 @@
+"""Authentication helpers for Mi Fitness cloud API."""
+
+import keyring
+
+
+SERVICE_NAME = "mi-fitness-mcp"
+ACCOUNT_NAME = "mi_fitness_auth"
+
+
+def save_mi_fitness_token(user_id: str, pass_token: str) -> None:
+    keyring.set_password(SERVICE_NAME, f"{ACCOUNT_NAME}_user_id", user_id)
+    keyring.set_password(SERVICE_NAME, f"{ACCOUNT_NAME}_pass_token", pass_token)
+
+
+def load_mi_fitness_token() -> tuple[str | None, str | None]:
+    try:
+        user_id = keyring.get_password(SERVICE_NAME, f"{ACCOUNT_NAME}_user_id")
+        pass_token = keyring.get_password(SERVICE_NAME, f"{ACCOUNT_NAME}_pass_token")
+        return user_id, pass_token
+    except Exception:
+        return None, None
+
+
+def delete_mi_fitness_token() -> None:
+    try:
+        keyring.delete_password(SERVICE_NAME, f"{ACCOUNT_NAME}_user_id")
+    except keyring.errors.PasswordDeleteError:
+        pass
+    try:
+        keyring.delete_password(SERVICE_NAME, f"{ACCOUNT_NAME}_pass_token")
+    except keyring.errors.PasswordDeleteError:
+        pass

src/mi_fitness_mcp/cli_mi_fitness.py

@@ -0,0 +1,5 @@
+from mi_fitness_mcp.main import main as _main
+
+
+def main() -> None:
+    _main()

src/mi_fitness_mcp/config.py

@@ -0,0 +1,71 @@
+"""Configuration management for Mi Fitness MCP."""
+
+import json
+from pathlib import Path
+from typing import Literal
+
+from platformdirs import user_config_dir, user_data_dir, user_log_dir
+from pydantic import BaseModel, Field
+
+
+def _default_database_path() -> Path:
+    return Path(user_data_dir("mi-fitness-mcp")) / "mi_fitness.db"
+
+
+def _default_logs_path() -> Path:
+    return Path(user_log_dir("mi-fitness-mcp")) / "mi_fitness.log"
+
+
+class Config(BaseModel):
+    mode: Literal["mi_fitness_cloud", "not_configured"] = "not_configured"
+    region: str = "ru"
+    timezone: str = Field(default="UTC")
+    database_path: Path = Field(default_factory=_default_database_path)
+    logs_path: Path = Field(default_factory=_default_logs_path)
+    auto_sync_on_start: bool = True
+    stale_after_minutes: int = 60
+    store_raw_payloads: bool = True
+    default_lookback_days: int = 30
+
+    class Config:
+        arbitrary_types_allowed = True
+
+
+def get_config_dir() -> Path:
+    config_dir = Path(user_config_dir("mi-fitness-mcp"))
+    config_dir.mkdir(parents=True, exist_ok=True)
+    return config_dir
+
+
+def get_config_path() -> Path:
+    return get_config_dir() / "config.json"
+
+
+def load_config() -> Config:
+    config_path = get_config_path()
+    if not config_path.exists():
+        config = Config()
+        save_config(config)
+        return config
+
+    with open(config_path, "r", encoding="utf-8") as f:
+        data = json.load(f)
+
+    if "database_path" in data and isinstance(data["database_path"], str):
+        data["database_path"] = Path(data["database_path"])
+    if "logs_path" in data and isinstance(data["logs_path"], str):
+        data["logs_path"] = Path(data["logs_path"])
+
+    return Config(**data)
+
+
+def save_config(config: Config) -> None:
+    config_path = get_config_path()
+    config_path.parent.mkdir(parents=True, exist_ok=True)
+
+    data = config.model_dump()
+    data["database_path"] = str(data["database_path"])
+    data["logs_path"] = str(data["logs_path"])
+
+    with open(config_path, "w", encoding="utf-8") as f:
+        json.dump(data, f, indent=2)

src/mi_fitness_mcp/main.py

@@ -0,0 +1,179 @@
+"""CLI for Mi Fitness MCP."""
+
+import argparse
+import asyncio
+import sys
+
+from mi_fitness_mcp.adapters.mi_fitness_cloud import MiFitnessCloudAdapter
+from mi_fitness_mcp.auth import load_mi_fitness_token, save_mi_fitness_token
+from mi_fitness_mcp.config import Config, get_config_path, load_config, save_config
+from mi_fitness_mcp.server import main as server_main
+from mi_fitness_mcp.storage import Database
+from mi_fitness_mcp.services.sync_service import SyncService
+
+
+PROGRAM_NAME = "mi-fitness-mcp"
+
+
+async def _check_adapter_health(adapter) -> tuple[bool, list[str], str | None]:
+    connected = await adapter.connect()
+    region = getattr(adapter, "region", None)
+    data_types = adapter.get_available_data_types() if connected else []
+    if hasattr(adapter, "close"):
+        await adapter.close()
+    return connected, data_types, region
+
+
+def cmd_setup(args):
+    if args.mode == "mi_fitness_cloud" and args.user_id and args.pass_token:
+        save_mi_fitness_token(args.user_id, args.pass_token)
+        config = Config(mode="mi_fitness_cloud", region=args.region or "ru")
+        save_config(config)
+        print("✅ Конфигурация сохранена (mi_fitness_cloud)")
+        print(f"   User ID: {args.user_id}")
+        print(f"   Region: {config.region}")
+        return
+
+    print(f"{PROGRAM_NAME} - Setup Wizard")
+    print("=" * 50)
+    print()
+    user_id = input("Mi Fitness user_id: ").strip()
+    pass_token = input("Mi Fitness passToken: ").strip()
+    region = input("Region [ru]: ").strip() or "ru"
+    if not user_id or not pass_token:
+        print("❌ Требуются user_id и passToken")
+        sys.exit(1)
+    save_mi_fitness_token(user_id, pass_token)
+    config = Config(mode="mi_fitness_cloud", region=region)
+    save_config(config)
+    print("✅ Mi Fitness конфигурация сохранена!")
+
+
+def cmd_doctor(args):
+    print(f"{PROGRAM_NAME} - Doctor")
+    print("=" * 50)
+    print()
+    config_path = get_config_path()
+    print(f"Конфигурация: {config_path}")
+
+    if not config_path.exists():
+        print("❌ Конфигурация не найдена")
+        print(f"   Запустите: {PROGRAM_NAME} setup")
+        sys.exit(1)
+
+    try:
+        config = load_config()
+        print("✅ Конфигурация загружена")
+        print(f"   Режим: {config.mode}")
+        user_id, pass_token = load_mi_fitness_token()
+        if user_id and pass_token:
+            print("✅ Mi Fitness credentials найдены")
+            print(f"   User ID: {user_id}")
+            print(f"   Region: {config.region}")
+            adapter = MiFitnessCloudAdapter(user_id=user_id, pass_token=pass_token, region=config.region)
+            connected, data_types, region = asyncio.run(_check_adapter_health(adapter))
+            print(f"   Подключение: {'✅' if connected else '❌'}")
+            if connected:
+                print(f"   Определённый регион: {region}")
+                print(f"   Типы данных: {', '.join(data_types)}")
+        else:
+            print("❌ Mi Fitness credentials не найдены")
+            print(f"   Запустите: {PROGRAM_NAME} setup")
+
+        print()
+        print(f"База данных: {config.database_path}")
+        if config.database_path.exists():
+            Database(config.database_path)
+            print("✅ База данных доступна")
+        else:
+            print("ℹ️  База данных будет создана при первом запуске")
+    except Exception as e:
+        print(f"❌ Ошибка загрузки конфигурации: {e}")
+        sys.exit(1)
+
+
+async def cmd_sync_async(args):
+    print(f"{PROGRAM_NAME} - Sync")
+    print("=" * 50)
+    print()
+
+    try:
+        config = load_config()
+    except Exception as e:
+        print(f"❌ Ошибка загрузки конфигурации: {e}")
+        sys.exit(1)
+
+    if config.mode == "not_configured":
+        print("❌ Сервер не настроен")
+        print(f"   Запустите: {PROGRAM_NAME} setup")
+        sys.exit(1)
+
+    user_id, pass_token = load_mi_fitness_token()
+    if not user_id or not pass_token:
+        print("❌ Mi Fitness credentials не найдены")
+        print(f"   Запустите: {PROGRAM_NAME} setup")
+        sys.exit(1)
+
+    db = Database(config.database_path)
+    adapter = MiFitnessCloudAdapter(user_id=user_id, pass_token=pass_token, region=config.region)
+    if not await adapter.connect():
+        print("❌ Не удалось подключиться к Mi Fitness API")
+        sys.exit(1)
+
+    sync_service = SyncService(adapter, db)
+    data_types = [args.type] if args.type else adapter.get_available_data_types()
+    print(f"Синхронизация {len(data_types)} типов данных...")
+    print()
+    for data_type in data_types:
+        try:
+            result = await sync_service.sync_data_type(
+                data_type=data_type,
+                start_date=args.start_date,
+                end_date=args.end_date,
+            )
+            print(f"✅ {data_type}: {result['added']} добавлено, {result['updated']} обновлено")
+        except Exception as e:
+            print(f"❌ {data_type}: {e}")
+
+    print()
+    print("Синхронизация завершена!")
+
+
+def cmd_sync(args):
+    asyncio.run(cmd_sync_async(args))
+
+
+def main():
+    parser = argparse.ArgumentParser(prog=PROGRAM_NAME, description="MCP server for Mi Fitness data")
+    subparsers = parser.add_subparsers(dest="command", help="Available commands")
+    subparsers.add_parser("serve", help="Run MCP server")
+
+    setup_parser = subparsers.add_parser("setup", help="Configure the server")
+    setup_parser.add_argument("--mode", choices=["mi_fitness_cloud"], help="Setup mode")
+    setup_parser.add_argument("--user-id", help="Mi Fitness user ID")
+    setup_parser.add_argument("--pass-token", help="Mi Fitness passToken")
+    setup_parser.add_argument("--region", help="Cloud region")
+
+    subparsers.add_parser("doctor", help="Check configuration and diagnose issues")
+
+    sync_parser = subparsers.add_parser("sync", help="Sync data from source")
+    sync_parser.add_argument("--type", choices=["daily_activity", "body_measurements", "heart_rate"], help="Type of data to sync")
+    sync_parser.add_argument("--start-date", help="Start date (YYYY-MM-DD)")
+    sync_parser.add_argument("--end-date", help="End date (YYYY-MM-DD)")
+
+    args = parser.parse_args()
+    if args.command == "serve" or args.command is None:
+        asyncio.run(server_main())
+    elif args.command == "setup":
+        cmd_setup(args)
+    elif args.command == "doctor":
+        cmd_doctor(args)
+    elif args.command == "sync":
+        cmd_sync(args)
+    else:
+        parser.print_help()
+        sys.exit(1)
+
+
+if __name__ == "__main__":
+    main()

src/mi_fitness_mcp/models/__init__.py

@@ -0,0 +1,183 @@
+"""Pydantic models for Mi Fitness MCP."""
+
+from datetime import datetime
+from typing import Any, Literal
+
+from pydantic import BaseModel, Field
+
+
+class BaseEntity(BaseModel):
+    """Base entity with common fields."""
+
+    id: str = Field(description="Internal UUID")
+    provider: Literal["mi_fitness"] = Field(description="Data provider")
+    source_type: Literal["cloud_session"] = Field(
+        description="Source of the data"
+    )
+    source_record_id: str | None = Field(None, description="Provider's native ID")
+    user_id: str = Field(description="User identifier")
+    device_id: str | None = Field(None, description="Device that recorded the data")
+    timezone: str = Field(default="UTC", description="Timezone for the data")
+    collected_at: datetime | None = Field(None, description="When data was recorded")
+    created_at: datetime = Field(default_factory=datetime.utcnow)
+    updated_at: datetime = Field(default_factory=datetime.utcnow)
+
+
+class DailyActivity(BaseEntity):
+    """Daily activity summary (steps, calories, etc.)."""
+
+    date: str = Field(description="Date in YYYY-MM-DD format")
+    steps: int = Field(ge=0, description="Number of steps")
+    distance_m: float = Field(ge=0, description="Distance in meters")
+    active_kcal: float = Field(ge=0, description="Active calories burned")
+    total_kcal: float | None = Field(None, ge=0, description="Total calories")
+    floors: int | None = Field(None, ge=0, description="Floors climbed")
+    active_minutes: int | None = Field(None, ge=0, description="Active minutes")
+
+
+class SleepStage(BaseModel):
+    """Sleep stage information."""
+
+    stage: Literal["deep", "light", "rem", "awake"] = Field(description="Sleep stage")
+    minutes: int = Field(ge=0, description="Duration in minutes")
+
+
+class SleepSession(BaseEntity):
+    """Sleep session data."""
+
+    sleep_id: str = Field(description="Unique sleep session ID")
+    start_at: datetime = Field(description="Sleep start time")
+    end_at: datetime = Field(description="Sleep end time")
+    duration_minutes: int = Field(ge=0, description="Total duration")
+    time_asleep_minutes: int = Field(ge=0, description="Actual sleep time")
+    time_awake_minutes: int = Field(ge=0, description="Time awake during sleep")
+    sleep_score: int | None = Field(None, ge=0, le=100, description="Sleep quality score")
+    is_nap: bool = Field(default=False, description="Whether this is a nap")
+    stages: list[SleepStage] = Field(default_factory=list, description="Sleep stages breakdown")
+
+
+class Workout(BaseEntity):
+    """Workout/exercise session."""
+
+    workout_id: str = Field(description="Unique workout ID")
+    activity_type: str = Field(description="Type of activity (running, cycling, etc.)")
+    start_at: datetime = Field(description="Workout start time")
+    end_at: datetime = Field(description="Workout end time")
+    duration_minutes: int = Field(ge=0, description="Duration in minutes")
+    distance_m: float | None = Field(None, ge=0, description="Distance in meters")
+    calories_kcal: float | None = Field(None, ge=0, description="Calories burned")
+    avg_heart_rate_bpm: int | None = Field(None, ge=0, description="Average heart rate")
+    max_heart_rate_bpm: int | None = Field(None, ge=0, description="Maximum heart rate")
+    avg_pace_sec_per_km: float | None = Field(None, ge=0, description="Average pace")
+    max_pace_sec_per_km: float | None = Field(None, ge=0, description="Maximum pace")
+    total_steps: int | None = Field(None, ge=0, description="Steps during workout")
+
+
+class BodyMeasurement(BaseEntity):
+    """Body composition measurement (from smart scale)."""
+
+    timestamp: datetime = Field(description="Measurement time")
+    weight_kg: float = Field(gt=0, description="Weight in kilograms")
+    bmi: float | None = Field(None, gt=0, description="Body mass index")
+    body_fat_pct: float | None = Field(None, ge=0, le=100, description="Body fat percentage")
+    muscle_mass_kg: float | None = Field(None, ge=0, description="Muscle mass")
+    water_pct: float | None = Field(None, ge=0, le=100, description="Body water percentage")
+    bone_mass_kg: float | None = Field(None, ge=0, description="Bone mass")
+    visceral_fat_score: int | None = Field(None, ge=0, description="Visceral fat level")
+    basal_metabolism_kcal: int | None = Field(None, ge=0, description="BMR in kcal")
+    metabolic_age: int | None = Field(None, ge=0, description="Metabolic age")
+
+
+class HeartRateSample(BaseEntity):
+    """Heart rate measurement."""
+
+    timestamp: datetime = Field(description="Measurement time")
+    bpm: int = Field(ge=0, description="Heart rate in beats per minute")
+    sample_type: Literal["resting", "active", "passive", "workout"] = Field(
+        default="passive", description="Type of measurement"
+    )
+
+
+class SpO2Sample(BaseEntity):
+    """Blood oxygen saturation measurement."""
+
+    timestamp: datetime = Field(description="Measurement time")
+    spo2_pct: int = Field(ge=0, le=100, description="SpO2 percentage")
+
+
+class StressSample(BaseEntity):
+    """Stress level measurement."""
+
+    timestamp: datetime = Field(description="Measurement time")
+    stress_score: int = Field(ge=0, le=100, description="Stress score")
+    level: Literal["low", "medium", "high"] = Field(description="Stress level category")
+
+
+class UserProfile(BaseModel):
+    """User profile information."""
+
+    user_id: str = Field(description="User identifier")
+    display_name: str | None = Field(None, description="Display name")
+    birth_year: int | None = Field(None, description="Birth year")
+    sex: Literal["male", "female", "other"] | None = Field(None, description="Sex")
+    height_cm: float | None = Field(None, gt=0, description="Height in cm")
+    timezone: str = Field(default="UTC", description="User timezone")
+    devices: list[dict[str, Any]] = Field(default_factory=list, description="Connected devices")
+
+
+class DeviceInfo(BaseModel):
+    """Connected device information."""
+
+    device_id: str = Field(description="Device identifier")
+    device_type: str = Field(description="Type (band, watch, scale)")
+    model: str = Field(description="Device model")
+    firmware_version: str | None = Field(None, description="Firmware version")
+    last_sync_at: datetime | None = Field(None, description="Last sync time")
+
+
+class DataCoverage(BaseModel):
+    """Data coverage information for a metric."""
+
+    data_type: str = Field(description="Type of data")
+    first_date: str | None = Field(None, description="First date with data")
+    last_date: str | None = Field(None, description="Last date with data")
+    days_with_data: int = Field(ge=0, description="Number of days with data")
+    gaps_detected: list[tuple[str, str]] = Field(
+        default_factory=list, description="Detected date gaps"
+    )
+
+
+class ConnectionStatus(BaseModel):
+    """Connection status response."""
+
+    mode: Literal["mi_fitness_cloud", "not_configured"]
+    connected: bool
+    last_sync_at: datetime | None = None
+    available_data_types: list[str] = Field(default_factory=list)
+    account_id_masked: str | None = None
+    sync_health: Literal["healthy", "stale", "error", "unknown"] = "unknown"
+    next_action: str | None = None
+    message: str | None = None
+
+
+class SyncResult(BaseModel):
+    """Data synchronization result."""
+
+    sync_id: str = Field(description="Unique sync identifier")
+    started_at: datetime = Field(description="Sync start time")
+    finished_at: datetime = Field(description="Sync end time")
+    records_added: int = Field(ge=0, description="New records added")
+    records_updated: int = Field(ge=0, description="Records updated")
+    records_skipped: int = Field(ge=0, description="Records skipped (duplicates)")
+    data_types_synced: list[str] = Field(default_factory=list)
+
+
+class QueryResponse(BaseModel):
+    """Generic query response envelope."""
+
+    status: Literal["ok", "error"] = "ok"
+    source: Literal["mi_fitness_cloud", "cloud_session", "cache", "unknown"]
+    generated_at: datetime = Field(default_factory=datetime.utcnow)
+    timezone: str = "UTC"
+    data: dict[str, Any] = Field(default_factory=dict)
+    error: str | None = None

src/mi_fitness_mcp/server.py

@@ -0,0 +1,181 @@
+"""MCP server implementation for Mi Fitness."""
+
+import json
+import logging
+import uuid
+from datetime import datetime
+from typing import Any
+
+from mcp.server import Server
+from mcp.server.stdio import stdio_server
+from mcp.types import TextContent, Tool
+
+from mi_fitness_mcp.adapters.mi_fitness_cloud import MiFitnessCloudAdapter
+from mi_fitness_mcp.auth import load_mi_fitness_token
+from mi_fitness_mcp.config import load_config
+from mi_fitness_mcp.models import ConnectionStatus, QueryResponse
+from mi_fitness_mcp.services.query_service import QueryService
+from mi_fitness_mcp.services.sync_service import SyncService
+from mi_fitness_mcp.storage import Database
+
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+app = Server("mi-fitness-mcp")
+
+config = None
+db = None
+adapter = None
+sync_service = None
+query_service = None
+
+
+@app.list_tools()
+async def list_tools() -> list[Tool]:
+    return [
+        Tool(name="get_connection_status", description="Check connection status", inputSchema={"type": "object", "properties": {}}),
+        Tool(name="sync_data", description="Synchronize Mi Fitness data", inputSchema={"type": "object", "properties": {"data_types": {"type": "array", "items": {"type": "string"}}, "start_date": {"type": "string"}, "end_date": {"type": "string"}, "force_full_sync": {"type": "boolean"}}}),
+        Tool(name="get_profile", description="Get user profile information", inputSchema={"type": "object", "properties": {}}),
+        Tool(name="get_daily_summary", description="Get daily activity summary", inputSchema={"type": "object", "properties": {"date": {"type": "string"}, "start_date": {"type": "string"}, "end_date": {"type": "string"}}}),
+        Tool(name="query_metric_series", description="Query metric series", inputSchema={"type": "object", "properties": {"metric": {"type": "string", "enum": ["steps", "distance_m", "active_kcal", "weight_kg"]}, "start_date": {"type": "string"}, "end_date": {"type": "string"}, "granularity": {"type": "string", "enum": ["day", "week", "month"]}, "aggregation": {"type": "string", "enum": ["sum", "avg", "min", "max", "latest"]}}, "required": ["metric", "start_date", "end_date"]}),
+        Tool(name="query_heart_rate", description="Query heart rate samples", inputSchema={"type": "object", "properties": {"start_date": {"type": "string"}, "end_date": {"type": "string"}, "sample_type": {"type": "string", "enum": ["resting", "active", "passive", "workout"]}, "limit": {"type": "integer"}}, "required": ["start_date", "end_date"]}),
+        Tool(name="query_body_measurements", description="Query body measurements", inputSchema={"type": "object", "properties": {"start_date": {"type": "string"}, "end_date": {"type": "string"}, "metrics": {"type": "array", "items": {"type": "string", "enum": ["weight_kg", "bmi", "body_fat_pct", "muscle_mass_kg", "water_pct"]}}, "latest_only": {"type": "boolean"}}, "required": ["start_date", "end_date"]}),
+        Tool(name="get_data_coverage", description="Get data coverage", inputSchema={"type": "object", "properties": {"data_types": {"type": "array", "items": {"type": "string"}}}}),
+    ]
+
+
+@app.call_tool()
+async def call_tool(name: str, arguments: dict[str, Any]) -> list[TextContent]:
+    try:
+        if name == "get_connection_status":
+            result = await _handle_get_connection_status()
+        elif name == "sync_data":
+            result = await _handle_sync_data(arguments)
+        elif name == "get_profile":
+            result = await _handle_get_profile()
+        elif name == "get_daily_summary":
+            result = await _handle_get_daily_summary(arguments)
+        elif name == "query_metric_series":
+            result = await _handle_query_metric_series(arguments)
+        elif name == "query_heart_rate":
+            result = await _handle_query_heart_rate(arguments)
+        elif name == "query_body_measurements":
+            result = await _handle_query_body_measurements(arguments)
+        elif name == "get_data_coverage":
+            result = await _handle_get_data_coverage(arguments)
+        else:
+            result = {"status": "error", "error": f"Unknown tool: {name}"}
+        return [TextContent(type="text", text=json.dumps(result, default=str))]
+    except Exception as e:
+        logger.exception("Mi Fitness tool error")
+        return [TextContent(type="text", text=json.dumps({"status": "error", "error": str(e)}))]
+
+
+async def _handle_get_connection_status() -> dict:
+    global adapter, config
+    if not config or config.mode == "not_configured":
+        return ConnectionStatus(mode="not_configured", connected=False, message="Server not configured.").model_dump()
+
+    connected = adapter is not None and adapter.is_connected()
+    last_sync = None
+    available_types = []
+    if db:
+        for data_type in ["daily_activity", "heart_rate", "body_measurements"]:
+            state = db.get_sync_state(data_type)
+            if state and state.get("last_sync_at"):
+                available_types.append(data_type)
+                sync_time = datetime.fromisoformat(state["last_sync_at"])
+                if last_sync is None or sync_time > last_sync:
+                    last_sync = sync_time
+    return ConnectionStatus(mode=config.mode, connected=connected, last_sync_at=last_sync, available_data_types=available_types).model_dump()
+
+
+async def _handle_sync_data(arguments: dict) -> dict:
+    if not sync_service:
+        return {"status": "error", "error": "Sync service not initialized"}
+    data_types = arguments.get("data_types") or sync_service.adapter.get_available_data_types()
+    sync_id = str(uuid.uuid4())
+    started_at = datetime.utcnow()
+    total_added = 0
+    total_updated = 0
+    total_skipped = 0
+    types_synced = []
+    for data_type in data_types:
+        try:
+            result = await sync_service.sync_data_type(data_type=data_type, start_date=arguments.get("start_date"), end_date=arguments.get("end_date"), force_full=arguments.get("force_full_sync", False))
+            total_added += result.get("added", 0)
+            total_updated += result.get("updated", 0)
+            total_skipped += result.get("skipped", 0)
+            types_synced.append(data_type)
+        except Exception as e:
+            logger.error(f"Failed to sync {data_type}: {e}")
+    finished_at = datetime.utcnow()
+    return {"status": "ok", "sync_id": sync_id, "started_at": started_at.isoformat(), "finished_at": finished_at.isoformat(), "records_added": total_added, "records_updated": total_updated, "records_skipped": total_skipped, "data_types_synced": types_synced}
+
+
+async def _handle_get_profile() -> dict:
+    if not adapter or not adapter.is_connected():
+        return {"status": "error", "error": "Not connected to data source"}
+    return QueryResponse(status="ok", source=config.mode if config else "unknown", data={"profile": {"user_id": adapter.get_user_id() or "unknown", "timezone": config.timezone if config else "UTC", "devices": []}}).model_dump()
+
+
+async def _handle_get_daily_summary(arguments: dict) -> dict:
+    if not query_service:
+        return {"status": "error", "error": "Query service not initialized"}
+    start_date = arguments.get("date") or arguments.get("start_date")
+    end_date = arguments.get("date") or arguments.get("end_date")
+    if not start_date or not end_date:
+        return {"status": "error", "error": "date or start_date/end_date required"}
+    summaries = query_service.get_daily_summaries(start_date, end_date)
+    return QueryResponse(status="ok", source="cache", data={"summaries": summaries}).model_dump()
+
+
+async def _handle_query_metric_series(arguments: dict) -> dict:
+    if not query_service:
+        return {"status": "error", "error": "Query service not initialized"}
+    series = query_service.get_metric_series(metric=arguments["metric"], start_date=arguments["start_date"], end_date=arguments["end_date"], granularity=arguments.get("granularity", "day"), aggregation=arguments.get("aggregation", "sum"))
+    return QueryResponse(status="ok", source="cache", data={"metric": arguments["metric"], "series": series}).model_dump()
+
+
+async def _handle_query_heart_rate(arguments: dict) -> dict:
+    if not query_service:
+        return {"status": "error", "error": "Query service not initialized"}
+    samples = query_service.get_heart_rate_samples(start_date=arguments["start_date"], end_date=arguments["end_date"], sample_type=arguments.get("sample_type"), limit=arguments.get("limit"))
+    return QueryResponse(status="ok", source="cache", data={"samples": samples, "count": len(samples)}).model_dump()
+
+
+async def _handle_query_body_measurements(arguments: dict) -> dict:
+    if not query_service:
+        return {"status": "error", "error": "Query service not initialized"}
+    measurements = query_service.get_body_measurements(start_date=arguments["start_date"], end_date=arguments["end_date"], metrics=arguments.get("metrics"))
+    if arguments.get("latest_only") and measurements:
+        measurements = [measurements[-1]]
+    return QueryResponse(status="ok", source="cache", data={"measurements": measurements, "count": len(measurements)}).model_dump()
+
+
+async def _handle_get_data_coverage(arguments: dict) -> dict:
+    if not query_service:
+        return {"status": "error", "error": "Query service not initialized"}
+    coverage = query_service.get_data_coverage(arguments.get("data_types"))
+    return QueryResponse(status="ok", source="cache", data={"coverage": coverage}).model_dump()
+
+
+async def main():
+    global config, db, adapter, sync_service, query_service
+    config = load_config()
+    db = Database(config.database_path)
+    if config.mode == "mi_fitness_cloud":
+        user_id, pass_token = load_mi_fitness_token()
+        if user_id and pass_token:
+            adapter = MiFitnessCloudAdapter(user_id=user_id, pass_token=pass_token, region=config.region)
+            if await adapter.connect():
+                logger.info("Connected to Mi Fitness cloud API")
+            else:
+                logger.warning("Failed to connect to Mi Fitness cloud API")
+    if adapter:
+        sync_service = SyncService(adapter, db)
+        query_service = QueryService(db, adapter.get_user_id() or "unknown")
+    else:
+        query_service = QueryService(db, "unknown")
+    async with stdio_server() as (read_stream, write_stream):
+        await app.run(read_stream, write_stream, app.create_initialization_options())

src/mi_fitness_mcp/services/__init__.py

@@ -0,0 +1,6 @@
+"""Service exports."""
+
+from mi_fitness_mcp.services.query_service import QueryService
+from mi_fitness_mcp.services.sync_service import SyncService
+
+__all__ = ["QueryService", "SyncService"]

src/mi_fitness_mcp/services/autosync.py

@@ -0,0 +1,223 @@
+"""Background sync scheduler for Mi Fitness MCP."""
+
+import asyncio
+import logging
+from datetime import datetime, timedelta
+from typing import Callable
+
+from mi_fitness_mcp.adapters.base import DataAdapter
+from mi_fitness_mcp.storage import Database
+
+logger = logging.getLogger(__name__)
+
+
+class SyncScheduler:
+    """Scheduler for automatic background synchronization."""
+
+    def __init__(
+        self,
+        adapter: DataAdapter,
+        db: Database,
+        sync_interval_minutes: int = 60,
+    ):
+        """Initialize sync scheduler.
+        
+        Args:
+            adapter: Data source adapter
+            db: Database instance
+            sync_interval_minutes: How often to sync (default: 1 hour)
+        """
+        self.adapter = adapter
+        self.db = db
+        self.sync_interval = timedelta(minutes=sync_interval_minutes)
+        self._running = False
+        self._task: asyncio.Task | None = None
+        self._last_sync: datetime | None = None
+        self._sync_callback: Callable | None = None
+
+    def set_sync_callback(self, callback: Callable) -> None:
+        """Set callback to be called after each sync.
+        
+        Args:
+            callback: Function to call with sync results
+        """
+        self._sync_callback = callback
+
+    async def start(self) -> None:
+        """Start the sync scheduler."""
+        if self._running:
+            logger.warning("Scheduler already running")
+            return
+        
+        self._running = True
+        self._task = asyncio.create_task(self._run_scheduler())
+        logger.info(f"Sync scheduler started (interval: {self.sync_interval})")
+
+    async def stop(self) -> None:
+        """Stop the sync scheduler."""
+        if not self._running:
+            return
+        
+        self._running = False
+        if self._task:
+            self._task.cancel()
+            try:
+                await self._task
+            except asyncio.CancelledError:
+                pass
+        logger.info("Sync scheduler stopped")
+
+    async def _run_scheduler(self) -> None:
+        """Main scheduler loop."""
+        from mi_fitness_mcp.services.sync_service import SyncService
+        
+        sync_service = SyncService(self.adapter, self.db)
+        
+        while self._running:
+            try:
+                # Check if it's time to sync
+                if self._should_sync():
+                    await self._perform_sync(sync_service)
+                
+                # Wait for next check
+                await asyncio.sleep(60)  # Check every minute
+                
+            except asyncio.CancelledError:
+                break
+            except Exception as e:
+                logger.error(f"Error in sync scheduler: {e}")
+                await asyncio.sleep(60)  # Wait before retrying
+
+    def _should_sync(self) -> bool:
+        """Check if sync should be performed."""
+        if not self._last_sync:
+            return True
+        
+        time_since_last = datetime.utcnow() - self._last_sync
+        return time_since_last >= self.sync_interval
+
+    async def _perform_sync(self, sync_service) -> None:
+        """Perform synchronization of all data types."""
+        logger.info("Starting automatic sync")
+        
+        results = {}
+        data_types = self.adapter.get_available_data_types()
+        
+        for data_type in data_types:
+            try:
+                result = sync_service.sync_data_type(data_type)
+                results[data_type] = result
+                logger.info(
+                    f"Synced {data_type}: {result['added']} added, "
+                    f"{result['updated']} updated"
+                )
+            except Exception as e:
+                logger.error(f"Failed to sync {data_type}: {e}")
+                results[data_type] = {"error": str(e)}
+        
+        self._last_sync = datetime.utcnow()
+        
+        # Call callback if set
+        if self._sync_callback:
+            try:
+                self._sync_callback(results)
+            except Exception as e:
+                logger.error(f"Sync callback failed: {e}")
+        
+        logger.info("Automatic sync completed")
+
+    def get_status(self) -> dict:
+        """Get scheduler status."""
+        return {
+            "running": self._running,
+            "last_sync": self._last_sync.isoformat() if self._last_sync else None,
+            "sync_interval_minutes": self.sync_interval.total_seconds() / 60,
+            "next_sync": (
+                (self._last_sync + self.sync_interval).isoformat()
+                if self._last_sync
+                else None
+            ),
+        }
+
+
+class AutoSyncManager:
+    """Manager for automatic synchronization configuration."""
+
+    def __init__(self, config_path: str = "config/autosync.json"):
+        """Initialize auto-sync manager.
+        
+        Args:
+            config_path: Path to autosync configuration file
+        """
+        self.config_path = config_path
+        self._scheduler: SyncScheduler | None = None
+
+    def load_config(self) -> dict:
+        """Load auto-sync configuration."""
+        import json
+        from pathlib import Path
+        
+        path = Path(self.config_path)
+        if not path.exists():
+            return {
+                "enabled": False,
+                "sync_interval_minutes": 60,
+                "data_types": ["daily_activity", "sleep", "workouts"],
+            }
+        
+        with open(path, "r") as f:
+            return json.load(f)
+
+    def save_config(self, config: dict) -> None:
+        """Save auto-sync configuration."""
+        import json
+        from pathlib import Path
+        
+        path = Path(self.config_path)
+        path.parent.mkdir(parents=True, exist_ok=True)
+        
+        with open(path, "w") as f:
+            json.dump(config, f, indent=2)
+
+    async def start_scheduler(
+        self,
+        adapter: DataAdapter,
+        db: Database,
+    ) -> SyncScheduler | None:
+        """Start scheduler with loaded configuration.
+        
+        Args:
+            adapter: Data source adapter
+            db: Database instance
+            
+        Returns:
+            SyncScheduler instance or None if not enabled
+        """
+        config = self.load_config()
+        
+        if not config.get("enabled", False):
+            logger.info("Auto-sync is disabled")
+            return None
+        
+        interval = config.get("sync_interval_minutes", 60)
+        
+        self._scheduler = SyncScheduler(
+            adapter=adapter,
+            db=db,
+            sync_interval_minutes=interval,
+        )
+        
+        await self._scheduler.start()
+        return self._scheduler
+
+    async def stop_scheduler(self) -> None:
+        """Stop the running scheduler."""
+        if self._scheduler:
+            await self._scheduler.stop()
+            self._scheduler = None
+
+    def get_scheduler_status(self) -> dict | None:
+        """Get current scheduler status."""
+        if not self._scheduler:
+            return None
+        return self._scheduler.get_status()

src/mi_fitness_mcp/services/query_service.py

@@ -0,0 +1,301 @@
+"""Query service for retrieving data from database."""
+
+from datetime import datetime, timedelta
+from typing import Any
+
+from mi_fitness_mcp.storage import Database
+
+
+class QueryService:
+    """Service for querying fitness data from local database."""
+
+    def __init__(self, db: Database, user_id: str):
+        """Initialize query service.
+        
+        Args:
+            db: Database instance
+            user_id: User identifier
+        """
+        self.db = db
+        self.user_id = user_id
+
+    def get_daily_summaries(self, start_date: str, end_date: str) -> list[dict[str, Any]]:
+        """Get daily activity summaries for date range."""
+        records = self.db.query_daily_activity(self.user_id, start_date, end_date)
+        
+        # Group by date and aggregate
+        summaries = {}
+        for record in records:
+            date = record["date"]
+            if date not in summaries:
+                summaries[date] = {
+                    "date": date,
+                    "steps": 0,
+                    "distance_m": 0,
+                    "active_kcal": 0,
+                    "total_kcal": 0,
+                    "floors": 0,
+                    "active_minutes": 0,
+                }
+            
+            summaries[date]["steps"] += record.get("steps", 0)
+            summaries[date]["distance_m"] += record.get("distance_m", 0)
+            summaries[date]["active_kcal"] += record.get("active_kcal", 0)
+            if record.get("total_kcal"):
+                summaries[date]["total_kcal"] += record["total_kcal"]
+            if record.get("floors"):
+                summaries[date]["floors"] += record["floors"]
+            if record.get("active_minutes"):
+                summaries[date]["active_minutes"] += record["active_minutes"]
+        
+        return list(summaries.values())
+
+    def get_metric_series(
+        self,
+        metric: str,
+        start_date: str,
+        end_date: str,
+        granularity: str = "day",
+        aggregation: str = "sum",
+    ) -> list[dict[str, Any]]:
+        """Get time series for a metric."""
+        summaries = self.get_daily_summaries(start_date, end_date)
+        
+        series = []
+        for summary in summaries:
+            value = summary.get(metric)
+            if value is not None:
+                series.append({
+                    "date": summary["date"],
+                    "value": value,
+                })
+        
+        # Apply aggregation if needed
+        if granularity == "week":
+            series = self._aggregate_by_week(series, aggregation)
+        elif granularity == "month":
+            series = self._aggregate_by_month(series, aggregation)
+        
+        return series
+
+    def _aggregate_by_week(
+        self,
+        series: list[dict],
+        aggregation: str,
+    ) -> list[dict]:
+        """Aggregate daily series by week."""
+        weeks = {}
+        
+        for item in series:
+            date = datetime.strptime(item["date"], "%Y-%m-%d")
+            # Get week start (Monday)
+            week_start = date - timedelta(days=date.weekday())
+            week_key = week_start.strftime("%Y-%m-%d")
+            
+            if week_key not in weeks:
+                weeks[week_key] = []
+            weeks[week_key].append(item["value"])
+        
+        result = []
+        for week_key, values in sorted(weeks.items()):
+            if aggregation == "sum":
+                value = sum(values)
+            elif aggregation == "avg":
+                value = sum(values) / len(values)
+            elif aggregation == "min":
+                value = min(values)
+            elif aggregation == "max":
+                value = max(values)
+            else:
+                value = sum(values)
+            
+            result.append({"date": week_key, "value": value})
+        
+        return result
+
+    def _aggregate_by_month(
+        self,
+        series: list[dict],
+        aggregation: str,
+    ) -> list[dict]:
+        """Aggregate daily series by month."""
+        months = {}
+        
+        for item in series:
+            date = datetime.strptime(item["date"], "%Y-%m-%d")
+            month_key = date.strftime("%Y-%m")
+            
+            if month_key not in months:
+                months[month_key] = []
+            months[month_key].append(item["value"])
+        
+        result = []
+        for month_key, values in sorted(months.items()):
+            if aggregation == "sum":
+                value = sum(values)
+            elif aggregation == "avg":
+                value = sum(values) / len(values)
+            elif aggregation == "min":
+                value = min(values)
+            elif aggregation == "max":
+                value = max(values)
+            else:
+                value = sum(values)
+            
+            result.append({"date": month_key + "-01", "value": value})
+        
+        return result
+
+    def get_sleep_sessions(
+        self,
+        start_date: str,
+        end_date: str,
+        include_naps: bool = True,
+    ) -> list[dict[str, Any]]:
+        """Get sleep sessions for date range."""
+        records = self.db.query_sleep_sessions(self.user_id, start_date, end_date)
+        
+        sessions = []
+        for record in records:
+            # Skip naps if not included
+            if not include_naps and record.get("is_nap"):
+                continue
+            
+            session = {
+                "sleep_id": record["sleep_id"],
+                "start_at": record["start_at"],
+                "end_at": record["end_at"],
+                "duration_minutes": record["duration_minutes"],
+                "time_asleep_minutes": record["time_asleep_minutes"],
+                "time_awake_minutes": record["time_awake_minutes"],
+                "sleep_score": record.get("sleep_score"),
+                "is_nap": record.get("is_nap", False),
+            }
+            
+            # Parse stages if available
+            if record.get("stages"):
+                import json
+                try:
+                    session["stages"] = json.loads(record["stages"])
+                except json.JSONDecodeError:
+                    pass
+            
+            sessions.append(session)
+        
+        return sessions
+
+    def get_workouts(
+        self,
+        start_date: str,
+        end_date: str,
+        activity_types: list[str] | None = None,
+        min_duration: int | None = None,
+        min_distance_km: float | None = None,
+    ) -> list[dict[str, Any]]:
+        """Get workouts for date range with optional filters."""
+        records = self.db.query_workouts(self.user_id, start_date, end_date)
+        
+        workouts = []
+        for record in records:
+            # Apply filters
+            if activity_types:
+                if record["activity_type"].lower() not in [t.lower() for t in activity_types]:
+                    continue
+            
+            if min_duration and record.get("duration_minutes", 0) < min_duration:
+                continue
+            
+            if min_distance_km:
+                distance_km = (record.get("distance_m") or 0) / 1000
+                if distance_km < min_distance_km:
+                    continue
+            
+            workouts.append({
+                "workout_id": record["workout_id"],
+                "activity_type": record["activity_type"],
+                "start_at": record["start_at"],
+                "end_at": record["end_at"],
+                "duration_minutes": record["duration_minutes"],
+                "distance_m": record.get("distance_m"),
+                "calories_kcal": record.get("calories_kcal"),
+                "avg_heart_rate_bpm": record.get("avg_heart_rate_bpm"),
+                "max_heart_rate_bpm": record.get("max_heart_rate_bpm"),
+                "avg_pace_sec_per_km": record.get("avg_pace_sec_per_km"),
+                "max_pace_sec_per_km": record.get("max_pace_sec_per_km"),
+                "total_steps": record.get("total_steps"),
+            })
+        
+        return workouts
+
+    def get_body_measurements(
+        self,
+        start_date: str,
+        end_date: str,
+        metrics: list[str] | None = None,
+    ) -> list[dict[str, Any]]:
+        """Get body measurements for date range."""
+        records = self.db.query_body_measurements(self.user_id, start_date, end_date)
+        
+        measurements = []
+        for record in records:
+            measurement = {
+                "timestamp": record["timestamp"],
+                "weight_kg": record["weight_kg"],
+            }
+            
+            # Add optional metrics
+            optional_fields = [
+                "bmi", "body_fat_pct", "muscle_mass_kg", "water_pct",
+                "bone_mass_kg", "visceral_fat_score", "basal_metabolism_kcal",
+                "metabolic_age",
+            ]
+            
+            for field in optional_fields:
+                if record.get(field) is not None:
+                    measurement[field] = record[field]
+            
+            # Filter metrics if specified
+            if metrics:
+                filtered = {"timestamp": measurement["timestamp"]}
+                for metric in metrics:
+                    if metric in measurement:
+                        filtered[metric] = measurement[metric]
+                measurement = filtered
+            
+            measurements.append(measurement)
+
+        return measurements
+
+    def get_heart_rate_samples(
+        self,
+        start_date: str,
+        end_date: str,
+        sample_type: str | None = None,
+        limit: int | None = None,
+    ) -> list[dict[str, Any]]:
+        records = self.db.query_heart_rate_samples(self.user_id, start_date, end_date)
+
+        samples = []
+        for record in records:
+            if sample_type and record.get("sample_type") != sample_type:
+                continue
+            samples.append(
+                {
+                    "timestamp": record["timestamp"],
+                    "bpm": record["bpm"],
+                    "sample_type": record.get("sample_type", "passive"),
+                }
+            )
+
+        if limit is not None:
+            return samples[:limit]
+        return samples
+
+    def get_data_coverage(self, data_types: list[str] | None = None) -> list[dict[str, Any]]:
+        """Get data coverage information."""
+        coverage = self.db.get_data_coverage(self.user_id)
+        
+        if data_types:
+            coverage = [c for c in coverage if c["data_type"] in data_types]
+        
+        return coverage

src/mi_fitness_mcp/services/sync_service.py

@@ -0,0 +1,164 @@
+"""Sync service for importing data from adapters to database."""
+
+import asyncio
+import logging
+from collections.abc import AsyncIterator, Iterator
+from datetime import datetime, timedelta
+from typing import Any
+
+from mi_fitness_mcp.adapters.base import DataAdapter
+from mi_fitness_mcp.storage import Database
+
+logger = logging.getLogger(__name__)
+
+
+class SyncService:
+    """Service for synchronizing data from adapters to local database."""
+
+    def __init__(self, adapter: DataAdapter, db: Database):
+        """Initialize sync service.
+        
+        Args:
+            adapter: Data source adapter
+            db: Database instance
+        """
+        self.adapter = adapter
+        self.db = db
+
+    async def _iterate_records(self, records: Any) -> AsyncIterator[Any]:
+        if hasattr(records, "__aiter__"):
+            async for record in records:
+                yield record
+            return
+
+        for record in records:
+            yield record
+
+    async def sync_data_type(
+        self,
+        data_type: str,
+        start_date: str | None = None,
+        end_date: str | None = None,
+        force_full: bool = False,
+    ) -> dict:
+        """Synchronize a specific data type.
+        
+        Args:
+            data_type: Type of data to sync (daily_activity, sleep, workouts, body_measurements)
+            start_date: Start date (YYYY-MM-DD), defaults to 30 days ago
+            end_date: End date (YYYY-MM-DD), defaults to today
+            force_full: Force full sync ignoring last sync state
+            
+        Returns:
+            Dict with sync statistics
+        """
+        if not self.adapter.is_connected():
+            raise RuntimeError("Adapter not connected")
+
+        # Get last sync state for incremental sync
+        last_record_ts = None
+        if not force_full:
+            state = self.db.get_sync_state(data_type)
+            if state and state.get("last_record_timestamp"):
+                last_record_ts = datetime.fromisoformat(state["last_record_timestamp"])
+
+        if not end_date:
+            end_date = datetime.now().strftime("%Y-%m-%d")
+        if not start_date:
+            if last_record_ts:
+                start_date = last_record_ts.strftime("%Y-%m-%d")
+            elif self.adapter.__class__.__name__ == "MiFitnessCloudAdapter":
+                start_date = "2020-01-01"
+            else:
+                start = datetime.strptime(end_date, "%Y-%m-%d") - timedelta(days=30)
+                start_date = start.strftime("%Y-%m-%d")
+
+        added = 0
+        updated = 0
+        skipped = 0
+        last_ts = None
+
+        # Sync based on data type
+        if data_type == "daily_activity":
+            records = self.adapter.iter_daily_activity(start_date, end_date)
+            async for activity in self._iterate_records(records):
+                if self.db.insert_daily_activity(activity):
+                    added += 1
+                else:
+                    updated += 1
+                if last_ts is None or (activity.collected_at and activity.collected_at > last_ts):
+                    last_ts = activity.collected_at
+
+        elif data_type == "sleep":
+            records = self.adapter.iter_sleep_sessions(start_date, end_date)
+            async for sleep in self._iterate_records(records):
+                if self.db.insert_sleep_session(sleep):
+                    added += 1
+                else:
+                    updated += 1
+                if last_ts is None or sleep.start_at > last_ts:
+                    last_ts = sleep.start_at
+
+        elif data_type == "workouts":
+            records = self.adapter.iter_workouts(start_date, end_date)
+            async for workout in self._iterate_records(records):
+                if self.db.insert_workout(workout):
+                    added += 1
+                else:
+                    updated += 1
+                if last_ts is None or workout.start_at > last_ts:
+                    last_ts = workout.start_at
+
+        elif data_type == "body_measurements":
+            records = self.adapter.iter_body_measurements(start_date, end_date)
+            async for measurement in self._iterate_records(records):
+                if self.db.insert_body_measurement(measurement):
+                    added += 1
+                else:
+                    updated += 1
+                if last_ts is None or measurement.timestamp > last_ts:
+                    last_ts = measurement.timestamp
+
+        elif data_type == "heart_rate":
+            records = self.adapter.iter_heart_rate(start_date, end_date)
+            async for sample in self._iterate_records(records):
+                if self.db.insert_heart_rate_sample(sample):
+                    added += 1
+                else:
+                    updated += 1
+                if last_ts is None or sample.timestamp > last_ts:
+                    last_ts = sample.timestamp
+
+        else:
+            raise ValueError(f"Unknown data type: {data_type}")
+
+        # Update sync state
+        if last_ts:
+            self.db.update_sync_state(data_type, last_ts)
+
+        logger.info(
+            f"Synced {data_type}: {added} added, {updated} updated, "
+            f"range {start_date} to {end_date}"
+        )
+
+        return {
+            "data_type": data_type,
+            "added": added,
+            "updated": updated,
+            "skipped": skipped,
+            "start_date": start_date,
+            "end_date": end_date,
+        }
+
+    def sync_data_type_sync(
+        self,
+        data_type: str,
+        start_date: str | None = None,
+        end_date: str | None = None,
+        force_full: bool = False,
+    ) -> dict:
+        """Synchronous wrapper for sync_data_type.
+        
+        Use this when calling from synchronous code.
+        """
+        return asyncio.run(self.sync_data_type(data_type, start_date, end_date, force_full))

src/mi_fitness_mcp/storage/__init__.py

@@ -0,0 +1,619 @@
+"""SQLite storage layer for Mi Fitness MCP."""
+
+import json
+import sqlite3
+from contextlib import contextmanager
+from datetime import datetime
+from pathlib import Path
+from typing import Any
+
+from mi_fitness_mcp.models import (
+    BodyMeasurement,
+    DailyActivity,
+    HeartRateSample,
+    SleepSession,
+    Workout,
+)
+
+
+class Database:
+    """SQLite database manager."""
+
+    def __init__(self, db_path: Path | str):
+        """Initialize database.
+        
+        Args:
+            db_path: Path to SQLite database file
+        """
+        self.db_path = Path(db_path)
+        self._init_db()
+
+    def _init_db(self) -> None:
+        """Initialize database schema."""
+        self.db_path.parent.mkdir(parents=True, exist_ok=True)
+        
+        with self._get_connection() as conn:
+            # Daily activity table
+            conn.execute("""
+                CREATE TABLE IF NOT EXISTS daily_activity (
+                    id TEXT PRIMARY KEY,
+                    provider TEXT NOT NULL,
+                    source_type TEXT NOT NULL,
+                    source_record_id TEXT,
+                    user_id TEXT NOT NULL,
+                    device_id TEXT,
+                    timezone TEXT DEFAULT 'UTC',
+                    collected_at TIMESTAMP,
+                    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+                    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+                    date TEXT NOT NULL,
+                    steps INTEGER NOT NULL DEFAULT 0,
+                    distance_m REAL NOT NULL DEFAULT 0,
+                    active_kcal REAL NOT NULL DEFAULT 0,
+                    total_kcal REAL,
+                    floors INTEGER,
+                    active_minutes INTEGER,
+                    UNIQUE(user_id, date, device_id)
+                )
+            """)
+
+            # Sleep sessions table
+            conn.execute("""
+                CREATE TABLE IF NOT EXISTS sleep_sessions (
+                    id TEXT PRIMARY KEY,
+                    provider TEXT NOT NULL,
+                    source_type TEXT NOT NULL,
+                    source_record_id TEXT,
+                    user_id TEXT NOT NULL,
+                    device_id TEXT,
+                    timezone TEXT DEFAULT 'UTC',
+                    collected_at TIMESTAMP,
+                    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+                    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+                    sleep_id TEXT NOT NULL,
+                    start_at TIMESTAMP NOT NULL,
+                    end_at TIMESTAMP NOT NULL,
+                    duration_minutes INTEGER NOT NULL,
+                    time_asleep_minutes INTEGER NOT NULL,
+                    time_awake_minutes INTEGER NOT NULL,
+                    sleep_score INTEGER,
+                    is_nap BOOLEAN DEFAULT FALSE,
+                    stages TEXT,  -- JSON array of sleep stages
+                    UNIQUE(user_id, sleep_id)
+                )
+            """)
+
+            # Workouts table
+            conn.execute("""
+                CREATE TABLE IF NOT EXISTS workouts (
+                    id TEXT PRIMARY KEY,
+                    provider TEXT NOT NULL,
+                    source_type TEXT NOT NULL,
+                    source_record_id TEXT,
+                    user_id TEXT NOT NULL,
+                    device_id TEXT,
+                    timezone TEXT DEFAULT 'UTC',
+                    collected_at TIMESTAMP,
+                    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+                    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+                    workout_id TEXT NOT NULL,
+                    activity_type TEXT NOT NULL,
+                    start_at TIMESTAMP NOT NULL,
+                    end_at TIMESTAMP NOT NULL,
+                    duration_minutes INTEGER NOT NULL,
+                    distance_m REAL,
+                    calories_kcal REAL,
+                    avg_heart_rate_bpm INTEGER,
+                    max_heart_rate_bpm INTEGER,
+                    avg_pace_sec_per_km REAL,
+                    max_pace_sec_per_km REAL,
+                    total_steps INTEGER,
+                    UNIQUE(user_id, workout_id)
+                )
+            """)
+
+            # Body measurements table
+            conn.execute("""
+                CREATE TABLE IF NOT EXISTS body_measurements (
+                    id TEXT PRIMARY KEY,
+                    provider TEXT NOT NULL,
+                    source_type TEXT NOT NULL,
+                    source_record_id TEXT,
+                    user_id TEXT NOT NULL,
+                    device_id TEXT,
+                    timezone TEXT DEFAULT 'UTC',
+                    collected_at TIMESTAMP,
+                    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+                    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+                    timestamp TIMESTAMP NOT NULL,
+                    weight_kg REAL NOT NULL,
+                    bmi REAL,
+                    body_fat_pct REAL,
+                    muscle_mass_kg REAL,
+                    water_pct REAL,
+                    bone_mass_kg REAL,
+                    visceral_fat_score INTEGER,
+                    basal_metabolism_kcal INTEGER,
+                    metabolic_age INTEGER,
+                    UNIQUE(user_id, timestamp, device_id)
+                )
+            """)
+
+            conn.execute("""
+                CREATE TABLE IF NOT EXISTS heart_rate_samples (
+                    id TEXT PRIMARY KEY,
+                    provider TEXT NOT NULL,
+                    source_type TEXT NOT NULL,
+                    source_record_id TEXT,
+                    user_id TEXT NOT NULL,
+                    device_id TEXT,
+                    timezone TEXT DEFAULT 'UTC',
+                    collected_at TIMESTAMP,
+                    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+                    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+                    timestamp TIMESTAMP NOT NULL,
+                    bpm INTEGER NOT NULL,
+                    sample_type TEXT NOT NULL,
+                    UNIQUE(user_id, timestamp, sample_type)
+                )
+            """)
+
+            # Sync state table
+            conn.execute("""
+                CREATE TABLE IF NOT EXISTS sync_state (
+                    id INTEGER PRIMARY KEY AUTOINCREMENT,
+                    data_type TEXT NOT NULL UNIQUE,
+                    last_sync_at TIMESTAMP,
+                    last_record_timestamp TIMESTAMP,
+                    records_count INTEGER DEFAULT 0
+                )
+            """)
+
+            # Create indexes for better query performance
+            conn.execute("""
+                CREATE INDEX IF NOT EXISTS idx_activity_user_date 
+                ON daily_activity(user_id, date)
+            """)
+            conn.execute("""
+                CREATE INDEX IF NOT EXISTS idx_sleep_user_start 
+                ON sleep_sessions(user_id, start_at)
+            """)
+            conn.execute("""
+                CREATE INDEX IF NOT EXISTS idx_workouts_user_start 
+                ON workouts(user_id, start_at)
+            """)
+            conn.execute("""
+                CREATE INDEX IF NOT EXISTS idx_measurements_user_ts 
+                ON body_measurements(user_id, timestamp)
+            """)
+            conn.execute("""
+                CREATE INDEX IF NOT EXISTS idx_heart_rate_user_ts 
+                ON heart_rate_samples(user_id, timestamp)
+            """)
+
+            conn.commit()
+
+    @contextmanager
+    def _get_connection(self):
+        """Get database connection with row factory."""
+        conn = sqlite3.connect(self.db_path)
+        conn.row_factory = sqlite3.Row
+        try:
+            yield conn
+        finally:
+            conn.close()
+
+    def insert_daily_activity(self, activity: DailyActivity) -> bool:
+        """Insert or update daily activity record.
+        
+        Returns:
+            True if record was inserted, False if updated
+        """
+        with self._get_connection() as conn:
+            cursor = conn.execute(
+                """
+                INSERT INTO daily_activity (
+                    id, provider, source_type, source_record_id, user_id, device_id,
+                    timezone, collected_at, date, steps, distance_m, active_kcal,
+                    total_kcal, floors, active_minutes
+                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+                ON CONFLICT(id) DO UPDATE SET
+                    steps = excluded.steps,
+                    distance_m = excluded.distance_m,
+                    active_kcal = excluded.active_kcal,
+                    total_kcal = excluded.total_kcal,
+                    floors = excluded.floors,
+                    active_minutes = excluded.active_minutes,
+                    updated_at = CURRENT_TIMESTAMP
+                """,
+                (
+                    activity.id,
+                    activity.provider,
+                    activity.source_type,
+                    activity.source_record_id,
+                    activity.user_id,
+                    activity.device_id,
+                    activity.timezone,
+                    activity.collected_at.isoformat() if activity.collected_at else None,
+                    activity.date,
+                    activity.steps,
+                    activity.distance_m,
+                    activity.active_kcal,
+                    activity.total_kcal,
+                    activity.floors,
+                    activity.active_minutes,
+                ),
+            )
+            conn.commit()
+            return cursor.rowcount > 0
+
+    def insert_sleep_session(self, sleep: SleepSession) -> bool:
+        """Insert or update sleep session record."""
+        with self._get_connection() as conn:
+            cursor = conn.execute(
+                """
+                INSERT INTO sleep_sessions (
+                    id, provider, source_type, source_record_id, user_id, device_id,
+                    timezone, collected_at, sleep_id, start_at, end_at, duration_minutes,
+                    time_asleep_minutes, time_awake_minutes, sleep_score, is_nap, stages
+                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+                ON CONFLICT(user_id, sleep_id) DO UPDATE SET
+                    duration_minutes = excluded.duration_minutes,
+                    time_asleep_minutes = excluded.time_asleep_minutes,
+                    time_awake_minutes = excluded.time_awake_minutes,
+                    sleep_score = excluded.sleep_score,
+                    stages = excluded.stages,
+                    updated_at = CURRENT_TIMESTAMP
+                """,
+                (
+                    sleep.id,
+                    sleep.provider,
+                    sleep.source_type,
+                    sleep.source_record_id,
+                    sleep.user_id,
+                    sleep.device_id,
+                    sleep.timezone,
+                    sleep.collected_at.isoformat() if sleep.collected_at else None,
+                    sleep.sleep_id,
+                    sleep.start_at.isoformat(),
+                    sleep.end_at.isoformat(),
+                    sleep.duration_minutes,
+                    sleep.time_asleep_minutes,
+                    sleep.time_awake_minutes,
+                    sleep.sleep_score,
+                    sleep.is_nap,
+                    json.dumps([s.model_dump() for s in sleep.stages]),
+                ),
+            )
+            conn.commit()
+            return cursor.rowcount > 0
+
+    def insert_workout(self, workout: Workout) -> bool:
+        """Insert or update workout record."""
+        with self._get_connection() as conn:
+            cursor = conn.execute(
+                """
+                INSERT INTO workouts (
+                    id, provider, source_type, source_record_id, user_id, device_id,
+                    timezone, collected_at, workout_id, activity_type, start_at, end_at,
+                    duration_minutes, distance_m, calories_kcal, avg_heart_rate_bpm,
+                    max_heart_rate_bpm, avg_pace_sec_per_km, max_pace_sec_per_km, total_steps
+                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+                ON CONFLICT(user_id, workout_id) DO UPDATE SET
+                    duration_minutes = excluded.duration_minutes,
+                    distance_m = excluded.distance_m,
+                    calories_kcal = excluded.calories_kcal,
+                    avg_heart_rate_bpm = excluded.avg_heart_rate_bpm,
+                    max_heart_rate_bpm = excluded.max_heart_rate_bpm,
+                    updated_at = CURRENT_TIMESTAMP
+                """,
+                (
+                    workout.id,
+                    workout.provider,
+                    workout.source_type,
+                    workout.source_record_id,
+                    workout.user_id,
+                    workout.device_id,
+                    workout.timezone,
+                    workout.collected_at.isoformat() if workout.collected_at else None,
+                    workout.workout_id,
+                    workout.activity_type,
+                    workout.start_at.isoformat(),
+                    workout.end_at.isoformat(),
+                    workout.duration_minutes,
+                    workout.distance_m,
+                    workout.calories_kcal,
+                    workout.avg_heart_rate_bpm,
+                    workout.max_heart_rate_bpm,
+                    workout.avg_pace_sec_per_km,
+                    workout.max_pace_sec_per_km,
+                    workout.total_steps,
+                ),
+            )
+            conn.commit()
+            return cursor.rowcount > 0
+
+    def insert_body_measurement(self, measurement: BodyMeasurement) -> bool:
+        """Insert or update body measurement record."""
+        with self._get_connection() as conn:
+            cursor = conn.execute(
+                """
+                INSERT INTO body_measurements (
+                    id, provider, source_type, source_record_id, user_id, device_id,
+                    timezone, collected_at, timestamp, weight_kg, bmi, body_fat_pct,
+                    muscle_mass_kg, water_pct, bone_mass_kg, visceral_fat_score,
+                    basal_metabolism_kcal, metabolic_age
+                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+                ON CONFLICT(id) DO UPDATE SET
+                    weight_kg = excluded.weight_kg,
+                    bmi = excluded.bmi,
+                    body_fat_pct = excluded.body_fat_pct,
+                    muscle_mass_kg = excluded.muscle_mass_kg,
+                    water_pct = excluded.water_pct,
+                    updated_at = CURRENT_TIMESTAMP
+                """,
+                (
+                    measurement.id,
+                    measurement.provider,
+                    measurement.source_type,
+                    measurement.source_record_id,
+                    measurement.user_id,
+                    measurement.device_id,
+                    measurement.timezone,
+                    measurement.collected_at.isoformat() if measurement.collected_at else None,
+                    measurement.timestamp.isoformat(),
+                    measurement.weight_kg,
+                    measurement.bmi,
+                    measurement.body_fat_pct,
+                    measurement.muscle_mass_kg,
+                    measurement.water_pct,
+                    measurement.bone_mass_kg,
+                    measurement.visceral_fat_score,
+                    measurement.basal_metabolism_kcal,
+                    measurement.metabolic_age,
+                ),
+            )
+            conn.commit()
+            return cursor.rowcount > 0
+
+    def insert_heart_rate_sample(self, sample: HeartRateSample) -> bool:
+        with self._get_connection() as conn:
+            cursor = conn.execute(
+                """
+                INSERT INTO heart_rate_samples (
+                    id, provider, source_type, source_record_id, user_id, device_id,
+                    timezone, collected_at, timestamp, bpm, sample_type
+                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+                ON CONFLICT(id) DO UPDATE SET
+                    bpm = excluded.bpm,
+                    updated_at = CURRENT_TIMESTAMP
+                """,
+                (
+                    sample.id,
+                    sample.provider,
+                    sample.source_type,
+                    sample.source_record_id,
+                    sample.user_id,
+                    sample.device_id,
+                    sample.timezone,
+                    sample.collected_at.isoformat() if sample.collected_at else None,
+                    sample.timestamp.isoformat(),
+                    sample.bpm,
+                    sample.sample_type,
+                ),
+            )
+            conn.commit()
+            return cursor.rowcount > 0
+
+    def update_sync_state(self, data_type: str, last_record_ts: datetime | None = None) -> None:
+        """Update sync state for a data type."""
+        with self._get_connection() as conn:
+            conn.execute(
+                """
+                INSERT INTO sync_state (data_type, last_sync_at, last_record_timestamp)
+                VALUES (?, CURRENT_TIMESTAMP, ?)
+                ON CONFLICT(data_type) DO UPDATE SET
+                    last_sync_at = CURRENT_TIMESTAMP,
+                    last_record_timestamp = excluded.last_record_timestamp
+                """,
+                (data_type, last_record_ts.isoformat() if last_record_ts else None),
+            )
+            conn.commit()
+
+    def get_sync_state(self, data_type: str) -> dict[str, Any] | None:
+        """Get sync state for a data type."""
+        with self._get_connection() as conn:
+            row = conn.execute(
+                "SELECT * FROM sync_state WHERE data_type = ?",
+                (data_type,),
+            ).fetchone()
+            return dict(row) if row else None
+
+    def query_daily_activity(
+        self,
+        user_id: str,
+        start_date: str,
+        end_date: str,
+    ) -> list[dict[str, Any]]:
+        """Query daily activity records."""
+        with self._get_connection() as conn:
+            rows = conn.execute(
+                """
+                SELECT * FROM daily_activity
+                WHERE user_id = ? AND date >= ? AND date <= ?
+                ORDER BY date
+                """,
+                (user_id, start_date, end_date),
+            ).fetchall()
+            return [dict(row) for row in rows]
+
+    def query_sleep_sessions(
+        self,
+        user_id: str,
+        start_date: str,
+        end_date: str,
+    ) -> list[dict[str, Any]]:
+        """Query sleep session records."""
+        with self._get_connection() as conn:
+            rows = conn.execute(
+                """
+                SELECT * FROM sleep_sessions
+                WHERE user_id = ? 
+                AND date(start_at) >= ? AND date(start_at) <= ?
+                ORDER BY start_at
+                """,
+                (user_id, start_date, end_date),
+            ).fetchall()
+            return [dict(row) for row in rows]
+
+    def query_workouts(
+        self,
+        user_id: str,
+        start_date: str,
+        end_date: str,
+    ) -> list[dict[str, Any]]:
+        """Query workout records."""
+        with self._get_connection() as conn:
+            rows = conn.execute(
+                """
+                SELECT * FROM workouts
+                WHERE user_id = ?
+                AND date(start_at) >= ? AND date(start_at) <= ?
+                ORDER BY start_at
+                """,
+                (user_id, start_date, end_date),
+            ).fetchall()
+            return [dict(row) for row in rows]
+
+    def query_body_measurements(
+        self,
+        user_id: str,
+        start_date: str,
+        end_date: str,
+    ) -> list[dict[str, Any]]:
+        """Query body measurement records."""
+        with self._get_connection() as conn:
+            rows = conn.execute(
+                """
+                SELECT * FROM body_measurements
+                WHERE user_id = ?
+                AND date(timestamp) >= ? AND date(timestamp) <= ?
+                ORDER BY timestamp
+                """,
+                (user_id, start_date, end_date),
+            ).fetchall()
+            return [dict(row) for row in rows]
+
+    def query_heart_rate_samples(
+        self,
+        user_id: str,
+        start_date: str,
+        end_date: str,
+    ) -> list[dict[str, Any]]:
+        with self._get_connection() as conn:
+            rows = conn.execute(
+                """
+                SELECT * FROM heart_rate_samples
+                WHERE user_id = ?
+                AND date(timestamp) >= ? AND date(timestamp) <= ?
+                ORDER BY timestamp
+                """,
+                (user_id, start_date, end_date),
+            ).fetchall()
+            return [dict(row) for row in rows]
+
+    def get_data_coverage(self, user_id: str) -> list[dict[str, Any]]:
+        """Get data coverage statistics."""
+        with self._get_connection() as conn:
+            results = []
+            
+            # Activity coverage
+            row = conn.execute(
+                """
+                SELECT 
+                    MIN(date) as first_date,
+                    MAX(date) as last_date,
+                    COUNT(DISTINCT date) as days_with_data
+                FROM daily_activity
+                WHERE user_id = ?
+                """,
+                (user_id,),
+            ).fetchone()
+            if row and row["first_date"]:
+                results.append({
+                    "data_type": "daily_activity",
+                    **dict(row),
+                })
+
+            # Sleep coverage
+            row = conn.execute(
+                """
+                SELECT 
+                    MIN(date(start_at)) as first_date,
+                    MAX(date(start_at)) as last_date,
+                    COUNT(DISTINCT date(start_at)) as days_with_data
+                FROM sleep_sessions
+                WHERE user_id = ?
+                """,
+                (user_id,),
+            ).fetchone()
+            if row and row["first_date"]:
+                results.append({
+                    "data_type": "sleep",
+                    **dict(row),
+                })
+
+            # Workouts coverage
+            row = conn.execute(
+                """
+                SELECT 
+                    MIN(date(start_at)) as first_date,
+                    MAX(date(start_at)) as last_date,
+                    COUNT(DISTINCT date(start_at)) as days_with_data
+                FROM workouts
+                WHERE user_id = ?
+                """,
+                (user_id,),
+            ).fetchone()
+            if row and row["first_date"]:
+                results.append({
+                    "data_type": "workouts",
+                    **dict(row),
+                })
+
+            # Body measurements coverage
+            row = conn.execute(
+                """
+                SELECT 
+                    MIN(date(timestamp)) as first_date,
+                    MAX(date(timestamp)) as last_date,
+                    COUNT(DISTINCT date(timestamp)) as days_with_data
+                FROM body_measurements
+                WHERE user_id = ?
+                """,
+                (user_id,),
+            ).fetchone()
+            if row and row["first_date"]:
+                results.append({
+                    "data_type": "body_measurements",
+                    **dict(row),
+                })
+
+            row = conn.execute(
+                """
+                SELECT 
+                    MIN(date(timestamp)) as first_date,
+                    MAX(date(timestamp)) as last_date,
+                    COUNT(DISTINCT date(timestamp)) as days_with_data
+                FROM heart_rate_samples
+                WHERE user_id = ?
+                """,
+                (user_id,),
+            ).fetchone()
+            if row and row["first_date"]:
+                results.append({
+                    "data_type": "heart_rate",
+                    **dict(row),
+                })
+
+            return results