What is the PubMed MCP Server?
The PubMed MCP Server is a tool that enables AI assistants to search, access, and analyze PubMed articles through a simple Model Context Protocol (MCP) interface. It bridges AI models with biomedical literature.
What is MCP?
MCP stands for Model Context Protocol. It’s an open protocol that standardizes how applications provide context to Large Language Models (LLMs), allowing AI models to interact with external data sources and tools.
What are the key features of the PubMed MCP Server?
The key features include paper search, efficient retrieval of metadata, metadata access, research support, paper access (PDF download), deep analysis capabilities, and a set of specialized prompts for paper analysis.
How do I install the PubMed MCP Server?
You can install the server via Smithery using command-line instructions or manually by cloning the repository from GitHub and installing the required dependencies using pip install -r requirements.txt.
How do I use the PubMed MCP Server with Claude Desktop?
Add a configuration block to your claude_desktop_config.json file, specifying the command and arguments required to start the server.
What MCP tools are available?
The MCP tools include search_pubmed_key_words, search_pubmed_advanced, get_pubmed_article_metadata, download_pubmed_pdf, and deep_paper_analysis.
Can you provide some example usage scenarios?
Examples include asking the AI to search for papers on a specific topic (e.g., “Can you search PubMed for recent papers about CRISPR?”), requesting metadata for a paper given its PMID, and requesting a deep analysis of a paper.
Is the PubMed MCP Server open source?
Yes, the PubMed MCP Server is an open-source project, and contributions are welcome.
Under what license is the project released?
The project is licensed under the MIT License.
Is there a disclaimer associated with using this tool?
Yes, the tool is for research purposes only. Users are asked to respect PubMed’s terms of service and use the tool responsibly.
Where can I find more about UBOS Platform?
UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. Our platform help you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model and Multi-Agent Systems.
PubMed Article Search and Analysis Server
Project Details
- geobio/PubMed-MCP-Server
- MIT License
- Last Updated: 6/12/2025
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