Data Commons Search

About

The EOSC Data Commons Search server facilitates seamless discovery of open-access datasets through natural language queries. It functions as a core component of the EOSC Data Commons project's MatchMaker service, leveraging the Model Context Protocol (MCP) to assist users in finding relevant datasets and tools. The server exposes a dedicated HTTP POST endpoint for engaging in LLM-powered chat interactions, compliant with the AG-UI protocol, and a separate `/mcp` endpoint for direct integration as an MCP server, supporting both streamable HTTP and STDIO transports.

Key Features

• Natural language search across open-access datasets
• 9 GitHub stars
• HTTP POST endpoint for LLM-assisted chat interactions (AG-UI protocol compliant)
• Ability to search datasets and retrieve detailed file metadata
• Support for Streamable HTTP and STDIO MCP transport
• Model Context Protocol (MCP) server for tool and data discovery

Use Cases

• Enabling LLM-assisted discovery of scientific and educational datasets
• Integrating natural language search capabilities into developer environments via MCP (e.g., VSCode GitHub Copilot)
• Providing a backend search service for data portals requiring sophisticated query functionalities