PubMed Smithery
Summary
The PubMed Enhanced Search MCP Server provides AI assistants with powerful tools to search and analyze academic medical literature through the PubMed database. It offers specialized functions for keyword searches with journal filtering, MeSH term lookups, publication count statistics, detailed paper information retrieval, and structured PICO-based evidence searches. Built with Python using the FastMCP framework, this server implements automatic retry mechanisms with backoff delays to handle potential rate limiting by NCBI's E-utilities service, making it particularly valuable for researchers, healthcare professionals, and academics who need to efficiently access and analyze medical research without leaving their AI assistant conversation.
Available Actions(5)
search_pubmed
Search PubMed for articles matching keywords with optional journal filtering. Parameters: keywords (list of strings), journal (optional string), num_results (optional integer), sort_by (optional string)
get_mesh_terms
Look up MeSH terms related to a medical concept. Parameters: concept (string)
get_pubmed_count
Get the count of publications for multiple search terms. Parameters: terms (list of strings)
format_paper_details
Get detailed information about specific papers by PMID. Parameters: pmids (list of strings)
pico_search
Perform structured PICO (Population, Intervention, Comparison, Outcome) searches with synonyms. Parameters: p_terms (list of strings), i_terms (list of strings), c_terms (list of strings), o_terms (list of strings)
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