Open Data MCP Server

Category: Data Access & Integration (MCP Servers)

Tags: open-data, datasets, mcp, ai-integration

Source: GitHub Repository

Description

Open Data MCP Server is an open-source implementation of the Model Context Protocol (MCP), designed to connect open data sources with Large Language Models (LLMs). It provides tools for accessing, publishing, and serving public datasets as MCP servers, making open data directly accessible to LLM applications.

Features

• Open-Source MCP Server: Implements the Model Context Protocol to bridge open data and LLMs.
• CLI Tool: Command-line interface for accessing and managing open data connections.
• Provider Modules: Supports creation and integration of custom data providers (examples included, e.g., Switzerland SBB train data).
• Data Publishing: Tools and guidelines for building and publishing new public datasets as MCP providers.
• Integration with LLM Clients: Can be used with LLM desktop apps (such as Claude Desktop client) to query connected datasets.
• Quickstart Examples: Includes step-by-step instructions for setting up data providers and connecting them to LLMs.
• Community Driven: Open for community contributions, with an active roadmap and guidelines for participation.
• Testing & Validation: Includes tools and instructions for testing and validating new dataset providers.
• Focus on Simplicity and Standardization: Emphasizes maintainable, standardized modules and code quality.
• MIT Licensed: Permissive open-source license.

Pricing

• Free & Open Source: Licensed under the MIT License. No cost for usage or contribution.