The BioContextAI Knowledge Base MCP is a model context protocol server designed for biomedical research that provides a standardized connection layer between AI systems and biomedical resources, supporting integrated access to multiple biomedical databases and tools.

PubMed Literature Retrieval MCP Service

BioMCP is a biomedical R & D server based on the MCP protocol. By integrating protein databases and analysis tools, it enhances the capabilities of large language models in the field of protein structure analysis.

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.

The OLS MCP Server is a tool that provides ontology query services for large - language models. By connecting to the EBI Ontology Query Service API, it helps AI assistants accurately obtain ontology terms, concepts, and hierarchical structures in the biomedical field.

The PubMed MCP Server is a bridging service that provides AI assistants with access to the PubMed biomedical literature library via the Model Context Protocol (MCP), supporting literature search, metadata acquisition, and in - depth analysis functions.

An MCP server for biomedical literature databases

A project to import the Precision Medicine Knowledge Graph (PrimeKG) into the Neo4j database for biomedical data analysis and exploration.