mcp-simple-pubmed
by andybrandt
Server Configuration
Describes the environment variables required to run the server.
Name | Required | Description | Default |
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PUBMED_EMAIL | Yes | Your email address, required by NCBI | |
PUBMED_API_KEY | No | Optional API key for higher rate limits |
Schema
Prompts
Interactive templates invoked by user choice
Name | Description |
---|---|
No prompts |
Resources
Contextual data attached and managed by the client
Name | Description |
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No resources |
Tools
Functions exposed to the LLM to take actions
Name | Description |
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search_pubmed | Search PubMed for medical and life sciences research articles. You can use these search features: - Simple keyword search: "covid vaccine" - Field-specific search: - Title search: [Title] - Author search: [Author] - MeSH terms: [MeSH Terms] - Journal: [Journal] - Date ranges: Add year or date range like "2020:2024[Date - Publication]" - Combine terms with AND, OR, NOT - Use quotation marks for exact phrases Examples: - "covid vaccine" - basic search - "breast cancer"[Title] AND "2023"[Date - Publication] - "Smith J"[Author] AND "diabetes" - "RNA"[MeSH Terms] AND "therapy" The search will return: - Paper titles - Authors - Publication details - Abstract preview (when available) - Links to full text (when available) - DOI when available - Keywords and MeSH terms Note: Use quotes around multi-word terms for best results. |
get_paper_fulltext | Get full text of a PubMed article using its ID. This tool attempts to retrieve the complete text of the paper if available through PubMed Central. If the paper is not available in PMC, it will return a message explaining why and provide information about where the text might be available (e.g., through DOI). Example usage: get_paper_fulltext(pmid="39661433") Returns: - If successful: The complete text of the paper - If not available: A clear message explaining why (e.g., "not in PMC", "requires journal access") |