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by EOSC-Data-Commons • Uncategorized
An MCP server providing natural language search over open-access datasets using EOSC Data Commons OpenSearch.
Search and retrieve metadata from open-access datasets using natural language queries.
Integrate MCP server capabilities with Large Language Models for enhanced dataset discovery.
Connect to EOSC Data Commons OpenSearch service for research data exploration.
EOSC Data Commons Search is a server designed for the EOSC Data Commons project MatchMaker service, enabling users to discover datasets and tools through natural language queries. It supports the Model Context Protocol (MCP) and offers endpoints for searching datasets and metadata, with integration for Large Language Models to assist in search. The server can be deployed locally or via Docker and integrates with clients like VSCode GitHub Copilot.