Open Data
Connects Large Language Models to open data sources using the Model Context Protocol.
About
Open Data simplifies the integration of open data with Large Language Models (LLMs) through the Model Context Protocol (MCP). It offers tools for accessing various public datasets directly within LLM applications and enables users to contribute and publish their own open data, making it easily discoverable and accessible to others. The project provides a CLI tool for setting up MCP servers for different data providers, starting with Claude, and includes templates and guidelines for contributing new datasets. It aims to create a collaborative ecosystem where LLMs can leverage a wide range of open data sources, empowering more informed and context-aware responses.
Key Features
- CLI tool for easy MCP server setup
- Support for accessing open data within LLM applications
- Templates and guidelines for publishing open data
- Integration with Claude (with plans for more LLM support)
- Community-driven contribution model
Use Cases
- Enhance LLM responses with real-time data from public sources
- Develop data-driven LLM applications using open datasets
- Share and promote open data through LLM integration
