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MCP Simple PubMed: Intuitive Search, No Coding - MCP Implementation

MCP Simple PubMed: Intuitive Search, No Coding

MCP Simple PubMed: Effortlessly navigate PubMed’s medical research database. Instant, intuitive search tools for faster breakthroughs—no coding, no complexity.

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86% of users reported increased productivity after just one week

About MCP Simple PubMed

What is MCP Simple PubMed: Intuitive Search, No Coding?

MCP Simple PubMed is a tool that simplifies access to PubMed articles using the Entrez API. Designed for both AI systems and human users, it bypasses the need for coding while offering straightforward search functionality. Whether you're an AI needing structured data or a researcher seeking quick abstracts, this server bridges the gap between complex APIs and user-friendly access.

Key Features of MCP Simple PubMed: Intuitive Search, No Coding?

  • Keyword-Driven Search: Query PubMed’s vast database with simple terms to find relevant articles.
  • Abstract Access: Retrieve article summaries instantly without diving into technical details.
  • Open Access Full Text: Download complete papers when available directly from PubMed. While full texts are returned in XML format (ideal for AI analysis), humans can still view content via standard viewers.
  • API Key Flexibility: Boost search efficiency with an optional API key for higher query limits.

MCP Simple PubMed Features

How to Use MCP Simple PubMed: Intuitive Search, No Coding?

Getting started is straightforward:

  1. Install via Smithery: Use their pre-configured setup for a one-click experience.
  2. Manual Setup: Install dependencies and configure environment variables (PubMed API key recommended).
  3. Integrate with Tools: Add to platforms like Claude Desktop with a few lines of configuration (see example code in documentation).

Use Cases for MCP Simple PubMed: Intuitive Search, No Coding?

Common scenarios include:

  • Research Acceleration: Quickly gather abstracts for literature reviews without scripting.
  • AI Data Feeding: Provide structured XML outputs to machine learning models for analysis.
  • Education & Writing: Cross-reference studies for academic papers or presentations.
  • Rapid Prototyping: Test search logic without investing time in API coding.

MCP Simple PubMed FAQ

FAQ from MCP Simple PubMed: Intuitive Search, No Coding?

Why can’t I download some full texts?

Closed-access articles require institutional subscriptions. For open-access content, ensure the paper’s license permits direct download via PubMed.

Do I need an API key?

No, but it’s recommended. Without one, search limits may restrict high-volume queries.

Is coding knowledge required?

No! The tool abstracts technical details. Advanced users can customize via config files, but basic usage is button-click simple.

What’s the benefit of XML outputs?

While human-readable, XML structures data for easy parsing by AI systems—ideal for automated workflows.

Content

MCP Simple PubMed

smithery badge

An MCP server that provides access to PubMed articles through the Entrez API.

mcp-simple-pubmed MCP server

Features

  • Search PubMed database using keywords
  • Access article abstracts
  • Download full text when available (for open access articles available directly on PubMed)

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:

npx -y @smithery/cli install mcp-simple-pubmed --client claude

Manual Installation

pip install mcp-simple-pubmed

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.

Usage with Claude Desktop

Add to your Claude Desktop configuration (claude_desktop_config.json):

(Mac OS)

{
  "mcpServers": {
    "simple-pubmed": {
      "command": "python",
      "args": ["-m", "mcp_simple_pubmed"],
      "env": {
        "PUBMED_EMAIL": "[[email protected]](/cdn-cgi/l/email-protection)",
        "PUBMED_API_KEY": "your-api-key" 
      }
    }
  }
}

(Windows)

{
  "mcpServers": {
    "simple-pubmed": {
      "command": "C:\\Users\\YOUR_USERNAME\\AppData\\Local\\Programs\\Python\\Python311\\python.exe",
      "args": [
        "-m",
        "mcp_simple_pubmed"
      ],
      "env": {
        "PUBMED_EMAIL": "[[email protected]](/cdn-cgi/l/email-protection)",
        "PUBMED_API_KEY": "your-api-key" 
      }
    }
  }
}

License

MIT License

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