vitorpavinato/ncbi-mcp-server

Overview

A Python-based MCP server that provides comprehensive NCBI/PubMed literature search capabilities. It includes advanced analytics, caching, MeSH integration, related articles discovery, and batch processing for life science queries.

Best for

Best for
Life science researchers and developers building AI tools for literature mining

Use cases

• Search PubMed with MeSH terms for targeted literature retrieval
• Batch process multiple article queries for systematic reviews
• Discover related articles from a given seed paper

How to use

Install

pip install -r requirements.txt

Tools exposed

• poetry
• python
• docker
• docker-compose

Tested with

Claude Desktop

Example client config

{\n  "mcpServers": {\n    "ncbi-literature": {\n      "command": "poetry",\n      "args": ["run", "python", "src/ncbi_mcp_server/server.py"],\n      "cwd": "/FULL/PATH/TO/YOUR/ncbi-mcp-server"\n    }\n  }\n}

Notes

A Python-based MCP server that provides comprehensive NCBI/PubMed literature search capabilities. It includes advanced analytics, caching, MeSH integration, related articles discovery, and batch processing for life science queries.

9 stars on GitHub. Last updated 2025-06-28.

Use cases

• Search PubMed with MeSH terms for targeted literature retrieval
• Batch process multiple article queries for systematic reviews
• Discover related articles from a given seed paper

Pros

• Integrates with the Model Context Protocol for use in AI agent workflows
• Includes caching to improve repeated query performance
• Supports MeSH terms and related article discovery for deeper search

Cons

• Low star count (9) indicates limited community adoption and testing
• Requires Python environment and MCP setup, adding deployment overhead
• Documentation and support may be sparse due to small user base

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.