"PubMed" matching MCP servers:

Enables searching and retrieving biomedical literature from PubMed via the NCBI E-utilities API.

An MCP server that provides access to PubMed and NCBI's biomedical literature database for searching articles, retrieving metadata, and tracking citations. It enables users to explore related research, browse MeSH vocabulary, and find free full-text links.

Enables AI agents to search and read PubMed academic literature directly, without requiring an NCBI API key.

Provides structured PubMed literature data for LLM agents, supporting search, caching, and open-access full-text downloads via the MCP protocol.

A local MCP server enabling PubMed, PMC, and iCite API access via stdio for tools like search, fetch, full text, and citation counts.

A bridge connecting AI agents to NCBI's PubMed database through the Model Context Protocol, enabling seamless searching, retrieval, and analysis of biomedical literature and data.

Provides comprehensive access to NCBI's PubMed database of over 36 million biomedical citations, allowing users to search, retrieve, and analyze literature directly through MCP tools. It supports advanced queries, citation management, full-text retrieval from PubMed Central, and precise discovery using MeSH terms.

Enables searching and retrieving scientific articles from PubMed using NCBI E-utilities API with features like rate limiting and caching.

Enables comprehensive biomedical literature research through PubMed database access with advanced search, full-text retrieval, citation analysis, and batch processing capabilities. Supports both local deployment and cloud hosting for seamless integration with AI assistants.

MCP server for searching PubMed scientific articles using NCBI E-utilities API. Supports query, fetch summaries, and full text retrieval with caching and rate limiting.

Enables LLM agents to search biomedical literature, retrieve article details, find related papers, manage caching, and download open-access full texts through MCP with structured, agent-friendly responses.

Resolves scholarly identifiers — DOI, PubMed ID, PMCID, ISBN, ISSN, arXiv, ADS bibcode — into clean, formatted citations in any of 10,000+ CSL styles. Returns plain text, HTML, Markdown, RIS, BibTeX, CSL-JSON, or EndNote XML for direct paste or reference manager import.

A standalone MCP server that searches multiple scholarly metadata providers (PubMed, Europe PMC, bioRxiv, Crossref, OpenAlex, Semantic Scholar, arXiv), deduplicates results, and returns ranked literature with optional open-access full-text retrieval from Europe PMC.

Enables multi-source literature search, full-text retrieval, reference analysis, and journal quality assessment across Europe PMC, PubMed, arXiv, CrossRef, OpenAlex, and EasyScholar via the MCP protocol.

PubCrawl provides LLMs with access to PubMed, FDA/UK drug labeling, and ClinicalTrials.gov. It enables searching literature, retrieving abstracts and full texts, comparing US and UK drug labels, and exploring clinical trials.

Enables biopharma catalyst research by aggregating signals from ClinicalTrials.gov, PubMed, SEC EDGAR, openFDA, and Yahoo Finance, with a single tool to audit a ticker/drug combination and return a forensic verdict.

Enables document translation across multiple languages and AI-powered semantic search of PubMed literature. Supports various document formats including PDF, DOCX, PPTX with status tracking and customizable search parameters.

Enables searching and accessing academic papers from 23+ sources (including arXiv, PubMed, Google Scholar) through the Model Context Protocol, with unified tools for search, download, and text extraction.

Enables searching and downloading academic papers from 14 platforms including arXiv, PubMed, Google Scholar, Web of Science, Springer, and Sci-Hub with unified data format and intelligent rate limiting.

Enables comprehensive medical research by querying and analyzing data across ClinicalTrials.gov, PubMed, and FDA databases with AI-enhanced cross-database insights, risk assessments, and competitive intelligence.