PubMed FAQs

Question 1

What is the PubMed MCP Server?

Accepted Answer

It's a Model Context Protocol (MCP) server that allows AI agents to intelligently search, retrieve, and analyze biomedical literature from PubMed using NCBI E-utilities. It's built on mcp-ts-template for reliability.

Question 2

What are the main features of the PubMed MCP Server?

Accepted Answer

Key features include intelligent search via AI agents, easy literature retrieval, data analysis tools, a ready-to-use research agent scaffold, and production-ready performance.

Question 3

How do I install and use the PubMed MCP Server?

Accepted Answer

Clone the repository, install dependencies (e.g., using npm), and start the server. You can then access the API endpoints to search, retrieve, and analyze articles. See the project's README for detailed instructions.

Question 4

Can I use this tool to build my own AI research agents?

Accepted Answer

Yes! The server includes a research agent scaffold to help you get started. It provides a basic structure that you can customize to suit your specific research needs. Check the `/agent` directory for details.

Question 5

What kind of API endpoints does the PubMed MCP Server offer?

Accepted Answer

The server offers endpoints for searching PubMed (`/search`), retrieving articles by ID (`/article`), and analyzing article data (`/analyze`). See the documentation for details on request parameters and response formats.

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