BioMCP is an open - source biomedical AI toolkit that provides professional biomedical knowledge support for AI systems by connecting to authoritative data sources.

The Medical MCP Server is a dedicated server based on the Model Context Protocol (MCP) that provides AI assistants with access to medical data and medical information tools, including functions such as drug information query, medical literature retrieval, and health topic access.

The PubMed MCP Server is an interface service based on the Model Context Protocol, providing comprehensive access to the PubMed biomedical literature database for AI agents and research tools. It supports functions such as literature search, metadata acquisition, citation analysis, research plan generation, and data visualization, and is efficiently integrated through the NCBI E - utilities API.

PubMed Literature Retrieval MCP Service

This is a collection of MCP servers focused on the medical field, covering various medical - related MCP service implementations such as PubMed literature retrieval, access to medical preprints, FHIR data interaction, DICOM medical image processing, protein structure analysis, medical computing tools, and integration of medical education resources.

Suppr Super Literature provides AI-driven document translation and Chinese PubMed literature search services, supporting the translation of multiple document formats and intelligent literature retrieval.

A professional PubMed medical literature analysis MCP server that provides literature retrieval, hotspot analysis, trend tracking, and publication statistics functions to help researchers quickly understand medical research dynamics.

The PubMed Enhanced Search MCP Server provides advanced academic paper retrieval and medical subject term query functions.

PubTator MCP Server is a biomedical literature annotation and relationship mining server based on PubTator3, providing convenient literature retrieval, annotation information acquisition, and entity relationship analysis functions for AI assistants through the MCP interface.

An MCP server plugin based on the Semantic Scholar API for academic literature retrieval

A PubMed academic paper search service based on the Model Content Protocol

The OpenAlex MCP Server is an open - source project that implements the Model Configuration Protocol (MCP) to provide structured access to global academic literature for AI assistants.

A PubMed literature analysis MCP server developed specifically for medical students and researchers, providing functions such as literature retrieval, hot - spot analysis, trend tracking, and publication statistics.

An MCP server for accessing PubMed articles via the Entrez API, supporting keyword search, abstract retrieval, and open - access full - text download.

A professional PubMed medical literature analysis MCP server that helps researchers quickly retrieve and analyze medical literature hotspots and trends.

This project is a PubMed literature retrieval server based on the FastMCP framework, supporting asynchronous queries for PubMed article abstracts and using the Entrez module of BioPython for searching.