infoclimat-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@infoclimat-mcpwhat's the current weather in Paris?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 with optional filters (département, pays, genre, active_only) |
| Search stations by name or département — use this to resolve a place name to station IDs |
| Find stations within a radius of a lat/lon point |
| Observations for one or more stations over a date range — raw (~10 min resolution) or aggregated daily ( |
| Latest observation for each requested station |
| Precipitation totals over a period, with lat/lon for mapping |
Related MCP server: MCP Weather Server
Installation
With uv (recommended)
git clone <repo>
cd infoclimat-mcp
uv syncWith pip
pip install fastmcp httpx cachetools python-dotenvConfiguration
Copy .env.example to .env and fill in your token:
cp .env.example .envINFOCLIMAT_TOKEN=your_token_here
MCP_HOST=0.0.0.0 # optional, default 0.0.0.0
MCP_PORT=8000 # optional, default 8000Get a token at infoclimat.fr.
Running
uv run python main.pyThe 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:latestRun the server:
docker run -d \
-e INFOCLIMAT_TOKEN=your_token_here \
-p 8000:8000 \
ghcr.io/cmer81/infoclimat-mcp:latestOptional environment variables:
Variable | Default | Description |
| (required) | Your Infoclimat API token |
|
| Host to bind |
|
| Port to listen on |
The SSE endpoint is available at http://localhost:8000/sse.
Note: Never pass
INFOCLIMAT_TOKENas 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/sseReverse 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 |
| Returns all raw ~10-minute observations |
| 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
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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