PubMed

Integrates with NCBI PubMed to provide literature search, article retrieval, author-based searches, citation formatting in multiple styles, and research trend analysis for academic and bibliographic research workflows.

This MCP server provides advanced PubMed literature search and management capabilities through the NCBI E-utilities API, built by Chris Mannina with comprehensive citation formatting and research analysis tools. It offers 12 specialized tools including complex search filtering by date ranges, article types, authors, journals, and MeSH terms, detailed article retrieval with abstracts and metadata, author-based searches, related article discovery, and citation export in multiple formats (BibTeX, APA, MLA, Chicago, Vancouver, EndNote, RIS). The implementation features intelligent caching with TTL support, respectful rate limiting, advanced search query building with boolean operators, XML parsing for PubMed responses, and research trend analysis, making it valuable for researchers, academics, and AI assistants conducting systematic literature reviews, meta-analyses, or bibliographic research workflows.