Sponsored by Deepsite.site

Bio-Agents MCP

Created By
dogeplusplus10 months ago
MCP servers for Protein Data Bank, ChemBL, and other life science data (WIP), with Ollama client for local testing.
Content

Bio-Agents MCP

A collection of microservices and clients for natural language interaction with biological databases.

Components

  • LLM Client: Natural language interface with web UI and terminal modes
  • PDB MCP Server: Protein Data Bank API service
  • ChEMBL MCP Server: Chemical database API service

Architecture

┌─────────────┐     ┌──────────────┐
│   LLM UI    │     │  Ollama LLM  │
│  (Chainlit) │     │              │
└─────┬───────┘     └───────┬──────┘
      │                     │
┌─────┴─────────────────────┴──────┐
│           LLM Client             │
└─────┬─────────────────────┬──────┘
      │                     │
┌─────┴───────┐     ┌──────┴───────┐
│  PDB MCP    │     │  ChEMBL MCP  │
│   Server    │     │    Server    │
└─────────────┘     └──────────────┘

Quick Start

  1. Configure environment:
cp .env.example .env
  1. Start services:
make build
make up
  1. Launch web interface:
make run-chainlit

Visit http://localhost:8000 to start querying biological data.

Development

  • Use make help to see available commands
  • Each service has its own README with detailed documentation
  • Configuration files are in conf/ directory

Description

This project contains multiple modules that interact with various services and APIs using the FastMCP framework. Each module is designed to perform specific tasks and can be run independently or together using Docker Compose. The primary focus of this project is on bio agents, providing tools and services to interact with biological data sources such as the Protein Data Bank (PDB).

Modules

LLM Client

The llm-client module provides a client that interacts with a Language Model (LLM) server to process queries and utilize available tools. It is built using the FastMCP framework and supports asynchronous operations with aiohttp.

For more details, refer to the LLM Client README.

Protein Data Bank

The protein_data_bank_mcp module provides a server that interacts with the Protein Data Bank (PDB) API to fetch structural assembly descriptions, chemical components, drugbank annotations, branched entities, non-polymer entities, polymer entities, uniprot annotations, structures, pubmed annotations, pdb cluster data aggregation, aggregation group provenance, pdb cluster data aggregation method, and pairwise polymeric interface descriptions. It is built using the FastMCP framework and supports asynchronous operations with aiohttp.

For more details, refer to the Protein Data Bank README.

Docker

Dockerfiles are provided for each module to build Docker images.

  • Build the Docker image:

    docker build -t <module-name> .
    
  • Run the Docker container:

    docker run --env-file .env <module-name>
    

Docker Compose

A docker-compose.yml file is provided to run all services together.

  • Start all services:

    docker-compose up -d
    
  • Stop all services:

    docker-compose down
    

Makefile

A Makefile is provided to simplify common tasks.

  • Available targets:
    • setup-env: Set up the initial environment.
    • build: Build all Docker images.
    • up: Start all services using docker-compose.
    • down: Stop all services using docker-compose.
    • restart: Restart all services using docker-compose.
Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
Amap Maps高德地图官方 MCP Server
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
WindsurfThe new purpose-built IDE to harness magic
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.
ChatWiseThe second fastest AI chatbot™
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Serper MCP ServerA Serper MCP Server
Tavily Mcp
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
TimeA Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
DeepChatYour AI Partner on Desktop
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
Context7Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
Playwright McpPlaywright MCP server
CursorThe AI Code Editor
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题; Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"