Data Commons
Provides an HTTP API endpoint for a Model Context Protocol (MCP) server, enabling access to data from diverse open-access publishers using an LLM and search API.
About
The Data Commons is a Model Context Protocol (MCP) server developed for the EOSC Data Commons project, designed to facilitate data discovery. It exposes an HTTP POST endpoint that leverages a search API and a Large Language Model (LLM) to help users efficiently locate relevant datasets and tools. This server integrates with MCP clients, such as VSCode GitHub Copilot, to provide contextual data for AI models, streamlining the process of finding and utilizing open-access research data.
Key Features
- Provides a dedicated endpoint for searching open datasets
- Supports OpenAPI spec generation for API documentation
- Integrates Large Language Models (LLMs) for intelligent data querying
- 4 GitHub stars
- Streams responses for tool calls and search results
- Model Context Protocol (MCP) server with HTTP API
Use Cases
- Providing contextual data to AI models via an MCP client (e.g., VSCode GitHub Copilot)
- Enabling programmatic access to diverse open-access datasets through an HTTP API
- Facilitating data discovery and access within the EOSC Data Commons ecosystem
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