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MeteoSwiss MCP Server

🌦️ MeteoSwiss LLM Tools

License: CC0-1.0 npm: meteoswiss-mcp Docker live next Cursor Directory

Swiss weather data for AI assistants — powered by MeteoSwiss Open Data, the same data behind the MeteoSwiss app and website. Free, no API key required.

meteoswiss-mcp.ars.is — try the hosted service instantly, no setup needed.

  • Multi-day forecasts for ~6000 Swiss locations (postal codes, stations, place names)

  • Real-time measurements from ~160 automatic weather stations, updated every 10 minutes

  • Station discovery by name, canton, or GPS coordinates

  • Pollen monitoring from ~15 stations across Switzerland

  • MeteoSwiss website search and content retrieval

Choose Your Approach

This monorepo offers two ways to bring Swiss weather data into AI assistants:

MCP Server

Agent Skill

How it works

Standalone server exposing structured tools via MCP

Teaches agents to call MeteoSwiss APIs directly via HTTP

Best for

Claude Desktop, Claude.ai, any MCP client

Claude Code, Cursor, agents without MCP support

Features

Fuzzy station matching, geocoding, structured JSON, prompts

Lightweight, no server process, shell scripts included

Install

One-liner or Docker

Skill package or symlink

Requires

Node.js 22+ (or Docker)

curl, awk, jq

MCP Server — Quickstart

Use the hosted instance (no installation):

# Claude Code
claude mcp add meteoswiss https://meteoswiss-mcp.ars.is/mcp

For Cursor, install from the Cursor Directory or add manually via Settings → MCP.

Or self-host with Docker:

docker run -p 3000:3000 ghcr.io/eins78/meteoswiss-mcp:latest

See the meteoswiss-mcp README for Claude Desktop setup, environment variables, and full documentation.

Agent Skill — Quickstart

Install via the Claude Code plugin marketplace:

/plugin marketplace add eins78/meteoswiss-llm-tools
/plugin install meteoswiss-skills@meteoswiss-marketplace

Or with the Skills CLI:

pnpx skills add https://github.com/eins78/meteoswiss-llm-tools.git#packages/meteoswiss-skills --global --agent claude-code --all

See the meteoswiss-skills README for manual installation and details.

Available Tools (MCP Server)

Tool

Description

meteoswissLocalForecast

Multi-day forecasts by postal code, station, or place name

meteoswissCurrentWeather

Real-time measurements (temperature, wind, humidity, pressure)

meteoswissStations

Search station network by name, canton, or coordinates

meteoswissPollenData

Pollen concentration data from monitoring stations

search

Search MeteoSwiss website content (DE, FR, IT, EN)

fetch

Fetch full content from MeteoSwiss pages

Example Questions

Works with both approaches — just ask in any of Switzerland's four languages:

  • "What's the weather forecast for Zurich this week?"

  • "Wie wird das Wetter in Bern morgen?"

  • "Quelle est la météo à Genève?"

  • "Che tempo fa a Lugano?"

Packages

Package

Version

Description

meteoswiss-mcp

npm

MCP server with structured tools, fuzzy matching, and geocoding

meteoswiss-skills

1.0.0

Agent skill — direct HTTP access, no server needed

Development

git clone https://github.com/eins78/meteoswiss-llm-tools.git
cd meteoswiss-llm-tools
nvm use && pnpm install

See each package's README for package-specific commands. The repo uses changesets for versioning.

Data Source

All weather data comes from MeteoSwiss Open Government Data (OGD) — the official free data offering from Switzerland's Federal Office of Meteorology and Climatology. The same data powers the MeteoSwiss app and website.

License

CC0-1.0 — public domain

A
license - permissive license
-
quality - not tested
C
maintenance

Maintenance

Maintainers
Response time
4wRelease cycle
19Releases (12mo)
Issues opened vs closed

Latest Blog Posts

MCP directory API

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/eins78/meteoswiss-llm-tools'

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