andybrandt/mcp-simple-pubmed

An MCP server that provides access to PubMed articles through the Entrez API.
Features
Tools
- **Search PubMed** - Search the database using keywords, MeSH terms, author names, date ranges, and Boolean operators
- **Get Full Text** - Download full text when available (for open access articles in PubMed Central)
- **Access Abstracts** - Retrieve article abstracts and metadata via resource URIs
Prompts (New in v0.1.14)
MCP Prompts help you construct effective PubMed searches:
- **Systematic Review Search** - Generate comprehensive search strategies with MeSH terms, synonyms, and date filters for systematic reviews
- **PICO Search** - Build clinical question searches using the PICO framework (Population, Intervention, Comparison, Outcome)
- **Author Search** - Find all publications by a specific author with proper name formatting
These prompts guide the AI to build optimized PubMed queries, making it easier to conduct thorough literature searches.
Notes
Please note that the tool returns XML-ized version of full text. It is however more useful for AIs than a "human readable" text would have been as it gives them additional information about document's structure. At least, this is what Claude 3.5 Sonnet said he prefers.
Please also note that inability of this tool and possibly other tools to deliver a paper's full text may not be due to the fact that it is not available. When testing this tool I came across a paper that did not have full text on PubMed and when Claude accessed the publication URL (which we did get through DOI) using fetch he did get a "forbidden” error. However, I was able to access the very same page using a regular browser.
In other words if your AI assistant is not able to get the full text of a paper using this tool it is worth trying manually with a regular web browser.
Finally, this tool of course can’t give you access to paywalled/paid papers. You may be able to read them through your library access or – as a last resort – through a certain site that strives to make publicly funded research freely available.
Installation
Installing via Smithery
To install Simple PubMed for Claude Desktop automatically via Smithery:
Manual Installation
Configuration
The server requires the following environment variables:
- PUBMED_EMAIL: Your email address (required by NCBI)
- PUBMED_API_KEY: Optional API key for higher rate limits
The standard rate limit is 3 requests / second. No rate limiting was implemented, as it is highly unlikely in the typical usage scenario that your AI would generate more traffic. If you need it, you can register for an API key which will give you 10 requests / second. Read about this on NCBI pages.