infoclimat-mcp

A FastMCP server that exposes Infoclimat weather data via the Model Context Protocol (MCP). The server proxies requests to the Infoclimat API, injecting your API token server-side so clients never see it.

Tools

Tool	Description
list_stations	List stations with optional filters (département, pays, genre, active_only)
search_stations	Search stations by name or département — use this to resolve a place name to station IDs
find_nearest_stations	Find stations within a radius of a lat/lon point
get_observations	Observations for one or more stations over a date range — raw (~10 min resolution) or aggregated daily (aggregate="daily")
get_latest	Latest observation for each requested station
get_precipitation_summary	Precipitation totals over a period, with lat/lon for mapping

Installation

With uv (recommended)

git clone <repo>
cd infoclimat-mcp
uv sync

With pip

pip install fastmcp httpx cachetools python-dotenv

Configuration

Copy .env.example to .env and fill in your token:

cp .env.example .env

INFOCLIMAT_TOKEN=your_token_here
MCP_HOST=0.0.0.0   # optional, default 0.0.0.0
MCP_PORT=8000      # optional, default 8000

Get a token at infoclimat.fr.

Running

uv run python main.py

The server starts an SSE endpoint at http://0.0.0.0:8000/sse.

Docker

The image is published automatically to GitHub Container Registry on every push to master and on version tags.

docker pull ghcr.io/cmer81/infoclimat-mcp:latest

Run the server:

docker run -d \
  -e INFOCLIMAT_TOKEN=your_token_here \
  -p 8000:8000 \
  ghcr.io/cmer81/infoclimat-mcp:latest

Optional environment variables:

Variable	Default	Description
INFOCLIMAT_TOKEN	(required)	Your Infoclimat API token
MCP_HOST	0.0.0.0	Host to bind
MCP_PORT	8000	Port to listen on

The SSE endpoint is available at http://localhost:8000/sse.

Note: Never pass INFOCLIMAT_TOKEN as a build argument — always supply it at runtime via -e.

MCP Client Configuration

The Docker image exposes the same SSE endpoint (/sse) on port 8000. The configuration below applies whether you're running the server directly or via Docker.

Claude Desktop (remote server via SSE)

Note: Claude Desktop natively uses stdio for local MCP servers. The config below assumes the server is deployed remotely (e.g., behind a reverse proxy with TLS).

{
  "mcpServers": {
    "infoclimat": {
      "transport": "sse",
      "url": "https://your-server.example.com/sse"
    }
  }
}

Generic HTTP/SSE MCP client

SSE endpoint: https://your-server.example.com/sse

Reverse proxy (TLS)

Example Caddyfile for TLS termination:

your-server.example.com {
    reverse_proxy localhost:8000
}

Daily Aggregation

get_observations accepts an optional aggregate parameter:

Value	Behaviour
"raw" (default)	Returns all raw ~10-minute observations
"daily"	Returns compact per-day statistics — suitable for injecting into LLM context

Example daily response per station:

{
  "STATIC0183": {
    "station_name": "Sainte-Radegonde",
    "period": { "start": "2026-03-01", "end": "2026-03-21" },
    "daily": [
      {
        "date": "2026-03-01",
        "temp_min": 2.2,
        "temp_mean": 6.9,
        "temp_max": 13.8,
        "humidity_mean": 79.0,
        "wind_mean_kmh": 7.2,
        "wind_gust_max_kmh": 63.7,
        "pressure_mean": 1023.8,
        "precip_mm": 0.0
      }
    ],
    "summary": {
      "temp_min_abs": -4.1,
      "temp_max_abs": 21.4,
      "temp_mean": 8.2,
      "precip_total_mm": 29.8,
      "days_count": 21
    }
  }
}

Fields with all-null source values are omitted. precip_mm is the last pluie_cumul_0h value of the day (cumul since midnight).

Caching

• Station list: cached 1 hour in memory
• Observations: cached 10 minutes per (stations, start, end) key
• Cache is lost on server restart