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BioMCP

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from acashmoney

Enhances large language models with protein structure analysis capabilities, including active site analysis and disease-protein searches, by connecting to the RCSB Protein Data Bank.

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BioMCP: Enabling agent-based biomedical R&D

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Overview

BioMCP is a Model Context Protocol (MCP) server designed to enhance large language models with protein structure analysis capabilities. It provides tools for analyzing protein active sites and searching for disease-related proteins by interfacing with established protein databases.

Future work will be centered around enabling agents to utilize the BioMCP.

Features

  • Active Site Analysis: Examine the binding sites and functional residues of proteins using PDB IDs
  • Disease-Protein Search: Find protein structures associated with specific diseases or medical conditions
  • Integrated Data Access: Connect seamlessly with RCSB Protein Data Bank (PDB)

Technical Details

BioMCP implements the Model Context Protocol, allowing language models to access specialized protein structure knowledge without requiring this information to be part of their training data. The server handles API connections, data formatting, and error handling to provide reliable protein structure insights.

API Endpoints

BioMCP exposes two primary tools:

  1. analyze-active-site: Provides detailed information about protein binding sites using a PDB ID
  2. search-disease-proteins: Returns proteins related to specified diseases or medical conditions

Testing

BioMCP includes a comprehensive testing suite with unit, integration, and end-to-end tests.

Running Tests

Run all tests:

npm test

Run specific test suites:

# Unit tests only
npm run test:unit

# Integration tests only (API interactions)
npm run test:integration

# End-to-end tests only
npm run test:e2e

Linting

Check code quality:

npm run lint

Fix linting issues automatically:

npm run lint:fix

Roadmap

  • Expand level of detail for active site descriptions
  • Leverage 3-D coordinates
  • Tools for interfacing with literature
  • Tools for interfacing with computational biology models:
    • RFdiffusion
    • ProteinMPNN
    • ColabFold
    • Additional protein design and structure prediction tools
  • Agent-based research pipelines
  • Introduce client with protein visualization tools