PubMed MCP Server

Enables AI systems to search, retrieve, and analyze biomedical literature from PubMed for evidence-based research, citation generation, and data visualization

Skills

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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', 'scatter', 'pie', 'doughnut', 'bubble', 'radar', and 'polarArea' plots. Requires data values and field mappings for axes. Optional parameters allow for titles and dimensions. Internally uses Chart.js and chartjs-node-canvas to produce a Base64-encoded PNG image.

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 `include_detailed_prompts_for_agent` is true, the output plan will embed instructive prompts and detailed guidance notes to aid the research agent. The tool's primary function is to organize and structure your rough ideas into a formal, machine-readable plan. This plan is intended for further processing; as the research agent, you should then utilize your full suite of tools (e.g., file manipulation, `get_pubmed_article_connections` for literature/data search via PMID) to execute the outlined research, tailored to the user's request.

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.

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.

Configuration

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PubMed MCP Server

Email 营销助手
自動尋找潛在客戶並發送為期3天的跟進郵件序列。
客服文檔助手
AI 助手協助客服團隊創建高質量的支援文檔,包括常見問題、工單回覆、道歉信和標準作業程序。引導您創建內部資源和面向客戶的材料。
X/Twitter 助手
一個 AI 驅動的 Twitter 助手,幫助內容創作者將 AI 產品體驗轉化為病毒式推文 - 具有自動潤色、智能研究和一鍵發布功能。
Discourse 社區管理員
Discourse 社區管理員助手幫助您快速生成清晰、友好且結構良好的用戶回覆,使社區管理變得更輕鬆和專業。
AI 寫作助手
告訴我有關 AI 產品或品牌的信息 - 我將撰寫吸引人的營銷文案、文章和社交媒體帖子,根據您的品牌聲音和產品細節量身定制,並附上相關鏈接和插圖。
需求文檔撰寫助手
告訴我您的產品或功能想法 - 我將幫助您創建全面且詳細的需求文檔,涵蓋用戶故事、驗收標準、技術規範等內容。
品牌设计师
一款專為初創數字產品設計的品牌營銷 AI 助手,幫助您快速生成適合 Product Hunt、AppSumo 等平台的在線推廣材料,涵蓋視覺創意、推廣標語、品牌語調和賣點傳達
社區活動分析員
分析社區活動截圖,報告參與趨勢和討論亮點。上傳社區互動的截圖,該 Agent 會生成一份清晰的markdown報告,總結參與水平、關鍵討論主題和顯著亮點 — 非常適合社區經理、行銷人員和產品團隊。
AI 網頁工程師
AI Programmer 是一個 AI 頁面,可以將您的原始發布說明轉換為時尚、可發布的 HTML 頁面。

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