BioContextAI Knowledgebase MCP

Overview

BioContextAI Knowledgebase MCP implements MCP servers for common biomedical resources, enabling agentic large language models (LLMs) to retrieve verified information and perform domain-specific tasks. Unlike previous approaches requiring custom integration for each resource, BioContextAI provides a unified access layer through the Model Context Protocol that enables interoperability between AI systems and domain-specific data sources.

BioContextAI is available both as:

• An open-source software package for local hosting (see Self-hosting)

• A remote server for setup-free integration at https://mcp.biocontext.ai/mcp/ (subject to fair use)

The BioContextAI Registry catalogues community servers that expose biomedical databases and analysis tools, providing the community with a resource for tool discovery and distribution. The registry index can be found at: https://biocontext.ai/registry.

Documentation

Detailled documentation about the BioContextAI Knowledgebase MCP and the overall BioContextAI project can be found at https://biocontext.ai/docs.

This documentation is auto-generated from the source code and provides the API documentation. For other documentation, please refer to the main BioContextAI documentation at https://biocontext.ai/docs.

Start

• Installation
• Use with FastMCP client

API Documentation

• biocontext_kb
  • Submodules
    • biocontext_kb.app
      • Attributes
      • Functions
      • Module Contents
    • biocontext_kb.core
      • Submodules
      • Attributes
      • Package Contents
    • biocontext_kb.logging
    • biocontext_kb.main
      • Functions
      • Module Contents
    • biocontext_kb.openapi
      • Functions
      • Package Contents
    • biocontext_kb.utils
      • Functions
      • Package Contents
  • Functions
  • Package Contents
    • run_app()