A comprehensive PubMed Model Context Protocol (MCP) server
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# PubMed MCP Server [](https://github.com/chrismannina/pubmed-mcp/actions/workflows/ci.yml) A comprehensive Model Context Protocol (MCP) server for PubMed literature search and management. This server provides advanced search capabilities, citation formatting, and research analysis tools through the MCP protocol. <a href="https://glama.ai/mcp/servers/@chrismannina/pubmed-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@chrismannina/pubmed-mcp/badge" alt="PubMed Server MCP server" /> </a> ## Features - **Advanced PubMed Search**: Search with complex filters including date ranges, article types, authors, journals, and MeSH terms - **Article Details**: Retrieve detailed information for specific PMIDs including abstracts, authors, and metadata - **Citation Export**: Export citations in multiple formats (BibTeX, APA, MLA, Chicago, Vancouver, EndNote, RIS) - **Author Search**: Find articles by specific authors with co-author information - **Related Articles**: Discover articles related to a specific PMID - **MeSH Term Search**: Search and explore Medical Subject Headings - **Journal Analysis**: Get metrics and recent articles from specific journals - **Research Trends**: Analyze publication trends over time - **Article Comparison**: Compare multiple articles side by side - **Caching**: Built-in caching for improved performance - **Rate Limiting**: Respectful API usage with configurable rate limits ## Installation ### Prerequisites - Python 3.8 or higher - NCBI API key (free registration required) - Valid email address for NCBI API identification ### Quick Start 1. **Clone the repository:** ```bash git clone https://github.com/your-org/pubmed-mcp.git cd pubmed-mcp ``` 2. **Install dependencies:** ```bash pip install -r requirements.txt ``` 3. **Set up environment variables:** ```bash cp env.example .env # Edit .env with your…
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