This PubMed MCP server, developed by Guillaume Raille, enables seamless integration of PubMed data into AI-assisted workflows. Built with Python and leveraging the pubmedclient library, it provides a standardized interface for searching and fetching biomedical literature through Claude Desktop and compatible MCP clients. The implementation supports advanced search capabilities and article retrieval from PubMed's extensive database of over 35 million citations. It's particularly useful for researchers, healthcare professionals, and developers looking to incorporate on-demand access to scientific literature into their AI-assisted applications, allowing for dynamic querying and analysis of biomedical information.
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This MCP server may use standard commands or have its functionality documented in the README. Check the Setup or README tabs for more information.
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