BioContext Knowledgebase

Provides unified access to over 20 biomedical databases and research tools including protein databases (UniProt, AlphaFold), genomics resources (Ensembl, KEGG), literature search (Europe PMC, Google Scholar), clinical data (ClinicalTrials.gov, OpenFDA), and ontologies (Gene Ontology, EFO, ChEBI) for researchers and bioinformatics teams.

This MCP server provides AI assistants with unified access to biomedical databases and research tools through a single interface, built by the BioContextAI team using Python with FastMCP and designed to eliminate the need for custom integrations with each biomedical resource. The implementation offers over 20 specialized tools covering protein databases (UniProt, AlphaFold, Human Protein Atlas), genomics resources (Ensembl, KEGG), literature search (Europe PMC, Google Scholar), clinical data (ClinicalTrials.gov, OpenFDA), and ontologies (Gene Ontology, EFO, ChEBI), with both self-hosted deployment options and a hosted service at mcp.biocontext.ai. Built with comprehensive test coverage, Docker support, and integration with the BioContextAI Registry for community tool discovery, it serves researchers needing programmatic access to biomedical data, bioinformatics teams requiring standardized database queries, and AI applications that need verified biomedical information without managing multiple API integrations.