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.
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
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- 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_analysistool.
References & Links
- Official MCP Documentation: mcp.apify.com
- Apify Platform Docs: docs.apify.com/platform
- Apify MCP Server Docs: docs.apify.com/platform/integrations/mcp
- Source GitHub Repository: github.com/apify/mcp-servers
- Developer Community: Discord
Server Claim: To claim or manage this server, contact ai@apify.com.
Categories
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 TrialActor Information
- Developer
- agentify
- Pricing
- Paid
- Total Runs
- 22
- Active Users
- 11
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