feat: MCP server for pip install path
- diligence/mcp/server.py: 14 MCP tools (adapted from mcp-connector/) - diligence/mcp/__init__.py: background thread startup - CLI starts MCP on port 3001 automatically (--no-mcp to disable) - Graceful fallback if mcp package not installed - Agent config endpoint returns correct port for pip path
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parent
df39a8dc08
commit
40c8485aa7
4 changed files with 294 additions and 4 deletions
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@ -30,6 +30,10 @@ def main():
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"--no-mcp", action="store_true",
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help="Disable the MCP connector",
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)
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parser.add_argument(
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"--mcp-port", type=int, default=3001,
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help="Port for MCP SSE server (default: 3001)",
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)
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parser.add_argument(
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"--data-dir", type=str, default=None,
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help="Data directory (default: ~/.diligence)",
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@ -43,6 +47,7 @@ def main():
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# Auto-generate secrets on first run
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env_file = data_dir / ".env"
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api_token = ""
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if not env_file.exists():
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secret_key = secrets.token_hex(32)
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api_token = secrets.token_hex(32)
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@ -53,7 +58,6 @@ def main():
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f"DATA_DIR={data_dir}\n"
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)
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print(f"Created config at {env_file}")
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print(f"MCP token: {api_token}")
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# Point pydantic-settings at the env file
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os.environ.setdefault("DATA_DIR", str(data_dir))
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@ -65,10 +69,25 @@ def main():
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if line and not line.startswith("#") and "=" in line:
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key, _, value = line.partition("=")
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os.environ.setdefault(key.strip(), value.strip())
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if key.strip() == "API_TOKEN":
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api_token = value.strip()
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if args.no_mcp:
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os.environ["MCP_ENABLED"] = "false"
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# Start MCP server in background
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mcp_started = False
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if not args.no_mcp:
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try:
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from diligence.mcp import start_mcp_background
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mcp_started = start_mcp_background(
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api_url=f"http://localhost:{args.port}",
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api_token=api_token,
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port=args.mcp_port,
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)
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except ImportError:
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pass
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# Open browser after a short delay
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url = f"http://localhost:{args.port}"
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if not args.no_browser:
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@ -83,6 +102,10 @@ def main():
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print(f"\n Diligence running at {url}")
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print(f" Data: {data_dir}")
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if mcp_started:
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print(f" MCP: http://localhost:{args.mcp_port}/sse")
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elif not args.no_mcp:
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print(f" MCP: not available (install with: pip install diligence[mcp])")
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print(f" Press Ctrl+C to stop\n")
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# Run uvicorn
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41
diligence/mcp/__init__.py
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41
diligence/mcp/__init__.py
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@ -0,0 +1,41 @@
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"""MCP server startup for the pip install path.
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Starts FastMCP in a background thread so AI agents can connect
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to the same machine running Diligence. Requires: pip install diligence[mcp]
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"""
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from __future__ import annotations
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import threading
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import logging
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logger = logging.getLogger("diligence.mcp")
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def start_mcp_background(api_url: str, api_token: str = "", port: int = 3001):
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"""Start the MCP SSE server in a background thread.
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Args:
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api_url: Backend API base URL (e.g. http://localhost:8000)
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api_token: Bearer token for API auth
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port: Port for the MCP SSE server (default 3001)
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"""
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try:
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from diligence.mcp.server import create_mcp_server
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except ImportError:
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logger.warning("MCP package not installed. Install with: pip install diligence[mcp]")
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return False
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def _run():
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import asyncio
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loop = asyncio.new_event_loop()
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asyncio.set_event_loop(loop)
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try:
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mcp = create_mcp_server(api_url=api_url, api_token=api_token, port=port)
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mcp.run(transport="sse")
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except Exception as e:
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logger.error(f"MCP server failed: {e}")
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thread = threading.Thread(target=_run, daemon=True, name="mcp-server")
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thread.start()
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logger.info(f"MCP server starting on port {port}")
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return True
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223
diligence/mcp/server.py
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223
diligence/mcp/server.py
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@ -0,0 +1,223 @@
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"""Diligence MCP Server — 14 tools for AI agent integration.
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For the pip install path, this runs in-process as a background thread.
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For the Docker path, this runs as a separate container (mcp-connector/).
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"""
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from __future__ import annotations
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import json
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import httpx
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from mcp.server.fastmcp import FastMCP
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_client: httpx.AsyncClient | None = None
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def create_mcp_server(api_url: str = "http://localhost:8000", api_token: str = "", port: int = 3001) -> FastMCP:
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"""Create and configure the MCP server with all 14 tools."""
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mcp = FastMCP("Diligence Fitness", port=port)
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async def api(method: str, path: str, **kwargs) -> dict:
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global _client
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if _client is None:
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headers = {}
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if api_token:
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headers["Authorization"] = f"Bearer {api_token}"
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_client = httpx.AsyncClient(
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base_url=api_url, timeout=30, headers=headers
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)
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resp = await getattr(_client, method)(f"/api{path}", **kwargs)
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resp.raise_for_status()
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return resp.json()
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# --- CONTEXT & STATUS (3 tools) ---
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@mcp.tool()
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async def get_context() -> str:
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"""Get full user profile, motivation type, program status, point rules, rewards, and integration status. Call this at the start of each conversation to understand the user's current state."""
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data = await api("get", "/points/today")
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profile = await api("get", "/onboarding/profile")
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rewards = await api("get", "/points/rewards")
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integrations = await api("get", "/integrations/status")
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meal_plan = None
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try:
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meal_plan = await api("get", "/meal-plans/today")
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except Exception:
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pass
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return json.dumps({
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"user": profile, "today": data, "rewards": rewards,
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"integrations": integrations, "active_meal_plan": meal_plan,
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}, indent=2, default=str)
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@mcp.tool()
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async def get_today(date_str: str | None = None) -> str:
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"""Get today's points earned, daily gate status, breakdown by category, and activities logged. Optionally pass a date (YYYY-MM-DD)."""
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params = {"date": date_str} if date_str else {}
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data = await api("get", "/points/today", params=params)
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return json.dumps(data, indent=2, default=str)
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@mcp.tool()
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async def get_week(start_date: str | None = None) -> str:
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"""Get weekly summary including total points, active days count, target progress, and day-by-day breakdown."""
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params = {"start_date": start_date} if start_date else {}
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data = await api("get", "/points/week", params=params)
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return json.dumps(data, indent=2, default=str)
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# --- ACTIVITY LOGGING (1 tool) ---
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@mcp.tool()
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async def log_activity(
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category: str, title: str, duration_minutes: int,
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notes: str | None = None, date_str: str | None = None,
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program_day: int | None = None,
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) -> str:
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"""Log a workout or activity. Returns points earned and daily total.
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Args:
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category: Type of activity (workout, cardio, yoga, walking, cycling, swimming, other)
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title: Description of what was done
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duration_minutes: How long the activity lasted
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notes: Optional additional notes
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date_str: Optional date (YYYY-MM-DD), defaults to today
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program_day: Optional program day number
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"""
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payload = {"category": category, "title": title, "duration_minutes": duration_minutes}
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if notes: payload["notes"] = notes
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if date_str: payload["date"] = date_str
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if program_day: payload["program_day"] = program_day
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data = await api("post", "/activities/log", json=payload)
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return json.dumps(data, indent=2, default=str)
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# --- FOOD & NUTRITION (2 tools) ---
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@mcp.tool()
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async def log_food(
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meal_type: str, food_name: str, calories: int | None = None,
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protein_g: float | None = None, carbs_g: float | None = None,
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fat_g: float | None = None, servings: float | None = None,
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plan_item_id: str | None = None,
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) -> str:
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"""Log a food item with optional nutrition data.
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Args:
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meal_type: One of breakfast, lunch, dinner, snack
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food_name: What was eaten
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calories: Estimated calories
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protein_g: Grams of protein
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carbs_g: Grams of carbs
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fat_g: Grams of fat
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servings: Number of servings (default 1)
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plan_item_id: Optional meal plan item ID for compliance
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"""
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payload = {"meal_type": meal_type, "food_name": food_name}
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for k, v in [("calories", calories), ("protein_g", protein_g), ("carbs_g", carbs_g),
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("fat_g", fat_g), ("servings", servings), ("plan_item_id", plan_item_id)]:
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if v is not None: payload[k] = v
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data = await api("post", "/food/log", json=payload)
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return json.dumps(data, indent=2, default=str)
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@mcp.tool()
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async def search_food(query: str) -> str:
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"""Search for food items in Open Food Facts and USDA FoodData Central. Returns nutrition data for matching items."""
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data = await api("get", "/food/search", params={"q": query})
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return json.dumps(data, indent=2, default=str)
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# --- PROGRAMS (1 tool) ---
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@mcp.tool()
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async def get_program_schedule(date_str: str | None = None) -> str:
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"""Get today's scheduled workout from the active program, including exercises with sets, reps, and weight progression."""
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params = {"date": date_str} if date_str else {}
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data = await api("get", "/programs/schedule", params=params)
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return json.dumps(data, indent=2, default=str)
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# --- REWARDS (1 tool) ---
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@mcp.tool()
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async def redeem_reward(reward_name: str) -> str:
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"""Spend points on a configured reward. Returns success/failure and remaining points."""
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data = await api("post", "/points/rewards/redeem", json={"name": reward_name})
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return json.dumps(data, indent=2, default=str)
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# --- MEAL PLANS (4 tools) ---
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@mcp.tool()
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async def load_meal_plan(
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name: str, duration_days: int, meals: list[dict],
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diet_type: str | None = None, daily_calories: int | None = None,
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restrictions: list[str] | None = None,
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) -> str:
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"""Create a complete meal plan with all items.
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Args:
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name: Plan name (e.g. "7-Day Dairy-Free Keto")
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duration_days: How many days the plan covers
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meals: List of meal items with day_number, meal_type, food_name, calories, protein_g, carbs_g, fat_g
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diet_type: Optional diet type (keto, paleo, balanced, custom)
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daily_calories: Optional daily calorie target
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restrictions: Optional list of dietary restrictions
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"""
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payload = {"name": name, "duration_days": duration_days, "meals": meals}
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if diet_type: payload["diet_type"] = diet_type
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if daily_calories: payload["daily_calories"] = daily_calories
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if restrictions: payload["restrictions"] = restrictions
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data = await api("post", "/meal-plans", json=payload)
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return json.dumps(data, indent=2, default=str)
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@mcp.tool()
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async def get_meal_plan(date_str: str | None = None) -> str:
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"""View the active meal plan's meals for today or a specified date."""
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data = await api("get", "/meal-plans/today")
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return json.dumps(data, indent=2, default=str)
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@mcp.tool()
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async def update_meal_compliance(
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plan_item_id: str, status: str, substitution: str | None = None,
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) -> str:
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"""Mark a planned meal as followed, substituted, or skipped.
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Args:
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plan_item_id: The meal plan item ID
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status: One of 'followed', 'substituted', 'skipped'
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substitution: What was eaten instead (required if 'substituted')
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"""
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payload = {"plan_item_id": plan_item_id, "status": status}
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if substitution: payload["substitution"] = substitution
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data = await api("post", "/meal-plans/compliance", json=payload)
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return json.dumps(data, indent=2, default=str)
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@mcp.tool()
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async def get_plan_progress(plan_id: str | None = None) -> str:
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"""Get overall compliance stats for a meal plan."""
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if plan_id:
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data = await api("get", f"/meal-plans/{plan_id}/progress")
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else:
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plans = await api("get", "/meal-plans")
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active = next((p for p in plans if p.get("status") == "active"), None)
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if not active:
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return json.dumps({"error": "No active meal plan"})
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data = await api("get", f"/meal-plans/{active['id']}/progress")
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return json.dumps(data, indent=2, default=str)
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# --- INTEGRATIONS (2 tools) ---
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@mcp.tool()
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async def configure_integration(provider: str, credentials: dict) -> str:
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"""Store encrypted integration credentials. Write-only.
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Args:
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provider: Provider name (strava, polar, garmin, fitbit, usda, telegram, groq, etc.)
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credentials: Dict of credential fields
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"""
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data = await api("post", "/integrations/configure", json={
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"provider": provider, "credentials": credentials,
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})
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return json.dumps(data, indent=2, default=str)
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@mcp.tool()
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async def get_integration_status() -> str:
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"""Check connection status of all integration providers."""
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data = await api("get", "/integrations/status")
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return json.dumps(data, indent=2, default=str)
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return mcp
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@ -13,11 +13,14 @@ async def agent_config(user=Depends(get_current_user)):
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"""Return MCP connection details for the authenticated user."""
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settings = get_settings()
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# Determine MCP URL based on deployment mode
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base = settings.base_url.rstrip("/")
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if settings.is_sqlite:
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# pip install path — MCP served from same process
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mcp_url = f"{base}/mcp/sse"
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# pip install path — MCP runs on separate port (same machine)
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from urllib.parse import urlparse
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parsed = urlparse(base)
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host = parsed.hostname or "localhost"
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mcp_url = f"http://{host}:{settings.mcp_port}/sse"
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else:
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# Docker path — MCP on separate container port 3001
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from urllib.parse import urlparse
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