PubMed MCP Server

Most developer tooling work still happens through a UI a human drives. PubMed MCP server moves it into the conversation instead. This repository contains an MCP server that searches PubMed for article abstracts using BioPython's Entrez module. It leverages the FastMCP framework to provide asynchronous search capabilities for PubMed.

The short version

• Search PubMed: — Query for articles based on a search term
• Retrieve Abstracts: — Fetch abstracts of articles returned from PubMed
• Asynchronous Operation: — Uses asynchronous execution (via asyncio.to_thread) to avoid blocking the server

Getting it running

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

The tools it exposes

The server publishes 4 tools. What each one is for:

• Tool — ** search_pubmed
• Parameters — **
• query — The search term for PubMed (default is "endocarditis")
• max_results — Maximum number of articles to retrieve (default is 10)

What it needs from you

• Python 3.8 or higher - mcp[cli] - BioPython

Things to watch

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

How it compares

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. PubMed's toolset — Tool, Parameters, query and 1 more — is a fair guide to whether it matches your workflow. It is maintained by codingaslu; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against PubMed's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.