PubMed MCP Server

PubMed MCP Server

by agentify

An open-source MCP server that connects AI tools and apps directly to PubMed, letting you query biomedical literature without manual scraping. Perfect for automating research.

22 runs
11 users
Try This Actor

Opens on Apify.com

About PubMed MCP Server

Need to work with PubMed's massive library of biomedical research but tired of manual searches and clunky exports? This open-source MCP server is built for that. It implements the Model Context Protocol to give your AI assistants and applications direct, structured access to PubMed data. Think of it as a bridge: it lets tools like Claude Code or custom apps query for the latest papers on a specific gene, pull abstracts for a literature review, or gather citation data, all through a standardized API. Instead of you scraping the website or wrestling with bulk downloads, the server handles the communication with PubMed's databases and returns clean, usable information. I've used it to quickly compile background sections for research proposals by asking an AI to fetch recent studies on a topic through the server—it saved hours. It’s perfect for researchers, developers building in the life sciences space, or anyone who regularly needs to integrate up-to-date medical literature into their workflows. By being open-source, you can also host it yourself and tweak it for specific needs, like filtering for particular journals or study types.

What does this actor do?

PubMed MCP Server is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

  • Cloud-based execution - no local setup required
  • Scalable infrastructure for large-scale operations
  • API access for integration with your applications
  • Built-in proxy rotation and anti-blocking measures
  • Scheduled runs and webhooks for automation

How to Use

  1. Click "Try This Actor" to open it on Apify
  2. Create a free Apify account if you don't have one
  3. Configure the input parameters as needed
  4. Run the actor and download your results

Documentation

PubMed MCP Server

A Model Context Protocol (MCP) server for accessing and processing biomedical literature from PubMed. It provides a standardized interface for applications to search, retrieve metadata, download PDFs, and analyze PubMed articles.

Overview

This server implements the MCP standard, allowing AI assistants and other clients to interact with PubMed data programmatically. It is hosted on the Apify platform and is based on the original open-source project from JackKuo666/PubMed-MCP-Server.

Key Features

The server exposes five main tools:

  • search_pubmed_key_words: Search PubMed articles using simple keywords.
  • search_pubmed_advanced: Perform more complex, field-specific searches.
  • get_pubmed_article_metadata: Fetch detailed metadata (title, authors, abstract, journal, etc.) for a specific article by its PubMed ID (PMID).
  • download_pubmed_pdf: Download the full-text PDF of an available article.
  • deep_paper_analysis: Run an in-depth analysis on a specified paper.

How to Use

Connection

MCP clients connect to the server at the following URL:

https://mcp-servers--pubmed-mcp-server.apify.actor/mcp

Client Configuration

Add the server configuration to your MCP client (e.g., Claude Desktop, Cline). You must provide a valid Apify API token.

{
  "mcpServers": {
    "pubmed": {
      "url": "https://mcp-servers--pubmed-mcp-server.apify.actor/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_APIFY_TOKEN"
      }
    }
  }
}

Note: Replace YOUR_APIFY_TOKEN with your actual token from the Apify Console. For general guidance on connecting to MCP servers, see the official docs at mcp.apify.com.

Input/Output

The tools typically accept parameters like search queries or PubMed IDs (PMIDs) as input. Outputs are structured JSON data containing:

  • Search results: Lists of articles with identifiers, titles, and snippets.
  • Article metadata: Comprehensive details including authors, publication date, journal, MeSH terms, and the abstract.
  • PDF content: The binary PDF file for downloadable articles.
  • Analysis results: Structured insights from the deep_paper_analysis tool.

References & Links

Server Claim: To claim or manage this server, contact ai@apify.com.

Common Use Cases

Market Research

Gather competitive intelligence and market data

Lead Generation

Extract contact information for sales outreach

Price Monitoring

Track competitor pricing and product changes

Content Aggregation

Collect and organize content from multiple sources

Ready to Get Started?

Try PubMed MCP Server now on Apify. Free tier available with no credit card required.

Start Free Trial

Actor Information

Developer
agentify
Pricing
Paid
Total Runs
22
Active Users
11
Apify Platform

Apify provides a cloud platform for web scraping, data extraction, and automation. Build and run web scrapers in the cloud.

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