Server Configuration
Describes the environment variables required to run the server.
Name | Required | Description | Default |
---|---|---|---|
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 |
---|---|
No resources |
Tools
Functions exposed to the LLM to take actions
Name | Description |
---|---|
fetch_pubmed_content | Fetches detailed information from PubMed using NCBI EFetch. Can be used with a direct list of PMIDs or with queryKey/webEnv from an ESearch history entry. Supports pagination (retstart, retmax) when using history. Available 'detailLevel' options: 'abstract_plus' (parsed title, abstract, authors, journal, keywords, DOI, optional MeSH/grant info), 'full_xml' (JSON representation of the PubMedArticle XML structure), 'medline_text' (MEDLINE format), or 'citation_data' (minimal data for citations). Returns a JSON object containing results, any PMIDs not found (if applicable), and EFetch details. |
generate_pubmed_chart | Generates a customizable chart (PNG) from structured data. Supports 'bar', 'line', and 'scatter' plots. Requires data values and field mappings for axes. Optional parameters allow for titles, dimensions, and color/size/series encoding. Internally uses Vega-Lite and a canvas renderer to produce a Base64-encoded PNG image. |
get_pubmed_article_connections | Finds articles related to a source PubMed ID (PMID) or retrieves formatted citations for it. Supports finding similar articles, articles that cite the source, articles referenced by the source (via NCBI ELink), or fetching data to generate citations in various styles (RIS, BibTeX, APA, MLA via NCBI EFetch and server-side formatting). Returns a JSON object detailing the connections or formatted citations. |
pubmed_research_agent | Generates a standardized JSON research plan outline from component details you provide. It accepts granular inputs for all research phases (conception, data collection, analysis, dissemination, cross-cutting concerns). If |
search_pubmed_articles | Searches PubMed for articles using a query term and optional filters (max results, sort, date range, publication types). Uses NCBI ESearch to find PMIDs and ESummary (optional) for brief summaries. Returns a JSON object with search parameters, ESearch term, result counts, PMIDs, optional summaries (PMID, title, authors, source, dates), and E-utility URLs. |