Metadata-Version: 2.3
Name: odmcp
Version: 0.1.25
Summary: Python MCP servers exposing Open Data to compatible LLM clients.
Requires-Python: >=3.10
Requires-Dist: httpx>=0.28.0
Requires-Dist: mcp>=1.0.0
Description-Content-Type: text/markdown

# Open Data Model Context Protocol

![vc3598_Hyper-realistic_Swiss_landscape_pristine_SBB_red_train_p_40803c2e-43f5-410e-89aa-f6bdcb4cd089](https://github.com/user-attachments/assets/80c823dd-0b26-4d06-98f9-5c6d7c9103de)


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Connect any Open Data to LLM in minutes.

We tackle two problems: 

* *Access*: Access Open Data right from your LLM application (starting with Claude, more to come).
* *Publish*: Build & distribute (your) Open Data MCP server in minutes. Get everyone to use it!

How it works:


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

## Why Open Data MCP?

- **Rich Data Source**: Access to millions of high-quality public datasets from governments, regions, cities, NGOs...
- **Real-Time Insights**: Get live accurate answers about this data directly in your favorite LLM application.
- **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 Data MCP with Claude Desktop app client you need to install the [Claude Desktop app](https://claude.ai/download).

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

#### macOS

```bash
# you need to install uv through homebrew as using the install shell script 
# will install it locally to your user which make it unavailable in the Claude Desktop app context.
brew install uv
```

#### Windows

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

### Open Data MCP - CLI Tool

#### Overview

```bash
# show available commands
uvx odmcp 

# show available providers
uvx odmcp list

# show info about a provider
uvx odmcp info $PROVIDER_NAME

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

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

#### Example

Quickstart for the SBB provider:

```bash
uvx odmcp setup ch_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](LICENSE) file for details
