osmcp 0.1.8

Python MCP servers exposing Swiss Open Data to compatible LLM clients.

Open Swiss Model Context Protocol

Open Swiss MCP connects Large Language Models to Switzerland's open data infrastructure through Anthropic's Open Source Model Context Protocol. This enables any LLMs to provide real-time, data-grounded responses about Swiss public services and informations.

Why Open Swiss MCP?

• Rich Data Source: Access to 12,000+ high-quality datasets from opendata.swiss, Switzerland's official open data platform.
• Real-Time Insights: Get accurate answers about Swiss public services (weather, transport, etc.)
• Simple Integration: Built on Anthropic's Model Context Protocol for seamless LLM integration with any supported clients.
• Open Architecture: Designed for community contribution and dataset expansion.

Key Features

• One-Command setup
• Access to Swiss public datasets (incl. SBB real-time train informations, Weather updates...)
• Compatible with Claude and other MCP-enabled LLMs Application

We maintain a strong focus on reliability, simplicity, and extensibility. Contributions to expand the supported datasets are welcome!

Usage

Prerequisites

If you want to use Open Swiss MCP with Claude Desktop app client you need to install the Claude Desktop app.

You will also need uv to easily run our CLI and MCP servers.

macOS & Linux

curl -LsSf https://astral.sh/uv/install.sh | sh

Windows

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Open Swiss MCP - CLI Tool

Overview

# show available commands
uvx osmcp 

# show available providers
uvx osmcp list

# show info about a provider
uvx osmcp info $PROVIDER_NAME

# setup a provider's MCP server on your Claude Desktop app
uvx osmcp setup $PROVIDER_NAME

# remove a provider's MCP server from your Claude Desktop app
uvx osmcp remove $PROVIDER_NAME

Example

Quickstart for the SBB provider:

uvx setup sbb

Contributing

We want to scale!

• keep things as simple as possible -> toward AI generated pages keep things in single file
• keep things as standard as possible (TOOLS, TOOLS_HANDLER) and follow the guidelines for what should be a tool, what should be a resource...
• keep it as low as possible in external dependencies (weigh always pros / cons of integrating a new dependency with always a bias toward not adding it)
• keep things formatted with ruff
• keep things tested with pytest
• use typehints and pydantic model for input output of api requests

Concretly: brew install uv / or other mean to install uv git clone uv venv uv sync pre-commit install

Roadmap

data extension

1. integrate as many sources as possible from opendata.swiss

framework extension

1. add support for

Limitations

• please oblige to the license must be quoted in commercial application
• please oblige to the license of the data providers

References

• Model Context Protocol (Anthropic)

License

This project is licensed under the MIT License - see the LICENSE file for details