MCP Catalogs
Home

knowledgebase-mcp

by biocontext-ai·23·Score 42

BioContextAI Knowledgebase MCP server provides unified access to biomedical APIs for AI agents.

ai-llmknowledge-graphdeveloper-tools
6
Forks
0
Open issues
4 mo ago
Last commit
2d ago
Indexed

Overview

BioContextAI Knowledgebase MCP is a specialized Model Context Protocol server that connects AI systems with biomedical resources. It offers a standardized access layer to numerous APIs including Ensembl, EuropePMC, KEGG, and STRING, enabling LLMs to retrieve verified biomedical information. The server is designed for both local deployment and cloud hosting, with comprehensive documentation and integration options for various environments including Claude Desktop and popular IDEs.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

you:Biomedical research assistants that can query multiple databases simultaneously
you:Drug discovery workflows accessing protein interaction networks and pathway data
you:Literature review tools that search preprint servers and academic publications
you:Can I use this MCP server commercially?
you:What biomedical resources are available?

When to choose this

Choose this MCP server when building biomedical research AI systems that need access to multiple specialized databases and literature sources through a unified interface.

When NOT to choose this

Don't choose this if you need offline-only access, as many tools require internet connections to biomedical APIs, and avoid for commercial applications without checking individual data source licenses.

Tools this server exposes

12 tools extracted from the README
  • antibody_registry

    Gene id conversion through Antibody Registry

  • biorxiv_medrxiv

    Search recent preprints and access metadata from bioRxiv/medRxiv

  • ensembl

    Gene ID conversion and information from Ensembl

  • europmc

    Literature search and full-text access from EuropePMC

  • interpro

    Protein families, domains, and functional sites classification

  • kegg

    Access pathways, gene and drug-drug interaction database from KEGG

  • opentargets

    Access target-disease associations from OpenTargets

  • panglaodb

    Access single-cell RNA-seq cell type markers from PanglaoDB

  • pride

    Access proteomics data repository from PRIDE

  • protein_atlas

    Access protein expression data from Protein Atlas

  • reactome

    Access pathways database from Reactome

  • string

    Access protein-protein interaction networks from STRING

Comparable tools

biomed-mcpresearch-papers-mcpscience-mcpdatabase-mcp

Installation

Installation

Claude Desktop Setup

Edit your claude_desktop_config.json file:

{
  "mcpServers": {
    "biocontext_kb": {
      "command": "uvx",
      "args": [
        "biocontext_kb@latest"
      ],
      "env": {
        "UV_PYTHON": "3.12"
      }
    }
  }
}

Using uv

Run with streamable HTTP:

export MCP_ENVIRONMENT=PRODUCTION && export PORT=8000 && uvx biocontext_kb

Run with stdio transport:

export MCP_ENVIRONMENT=DEVELOPMENT && uvx biocontext_kb

IDE Setup

Configure your MCP client (VS Code, Cursor, etc.) with:

{
  "mcpServers": {
    "biocontext_kb": {
      "command": "uvx",
      "args": [
        "biocontext_kb@latest"
      ]
    }
  }
}

FAQ

Can I use this MCP server commercially?
The project is licensed under Apache License 2.0, but individual APIs may have their own terms of service. Users must comply with both the Apache License and the terms of each integrated API provider.
What biomedical resources are available?
The server provides access to 15+ biomedical databases including Ensembl, EuropePMC, KEGG, STRING, AlphaFold DB, Reactome, and more. Full list available in the README documentation.

Compare knowledgebase-mcp with

GitHub →

Last updated · Auto-generated from public README + GitHub signals.