registry and knowledgebase-mcp
About registry
biocontext-ai/registry
The BioContextAI Registry for biomedical MCP servers
Maintains a curated registry of Model Context Protocol (MCP) servers for biomedical applications, with automated schema validation and JSON export to power the BioContextAI discovery UI. Servers must meet specific criteria including biomedical focus, free academic access, OSI-approved licensing, and MCP compliance, ensuring quality through pre-commit hooks and standardized `meta.yaml` metadata. Integrates with the MCP ecosystem to enable AI agents to access specialized biomedical tools and research services.
About knowledgebase-mcp
biocontext-ai/knowledgebase-mcp
BioContextAI Knowledgebase MCP server for biomedical agentic AI
Implements unified MCP access to 14+ biomedical databases (PubMed, STRING, AlphaFold, KEGG, Reactome, etc.), enabling LLMs to query gene annotations, literature, protein interactions, and pathway data through standardized tools. Supports flexible deployment via stdio transport for Claude Desktop/IDEs, HTTP with uvicorn for remote use, or Docker, with extensible OpenAPI integration for custom data sources via configuration.
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