Bio-Agents MCP
MCP servers for Protein Data Bank, ChemBL, and other life science data (WIP), with Ollama client for local testing.
dogeplusplus
README
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
- Configure environment:
cp .env.example .env
- Start services:
make build
make up
- 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.
Recommended Servers
Crypto Price & Market Analysis MCP Server
A Model Context Protocol (MCP) server that provides comprehensive cryptocurrency analysis using the CoinCap API. This server offers real-time price data, market analysis, and historical trends through an easy-to-use interface.
MCP PubMed Search
Server to search PubMed (PubMed is a free, online database that allows users to search for biomedical and life sciences literature). I have created on a day MCP came out but was on vacation, I saw someone post similar server in your DB, but figured to post mine.
dbt Semantic Layer MCP Server
A server that enables querying the dbt Semantic Layer through natural language conversations with Claude Desktop and other AI assistants, allowing users to discover metrics, create queries, analyze data, and visualize results.
mixpanel
Connect to your Mixpanel data. Query events, retention, and funnel data from Mixpanel analytics.

Sequential Thinking MCP Server
This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.

Nefino MCP Server
Provides large language models with access to news and information about renewable energy projects in Germany, allowing filtering by location, topic (solar, wind, hydrogen), and date range.
Vectorize
Vectorize MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.
Mathematica Documentation MCP server
A server that provides access to Mathematica documentation through FastMCP, enabling users to retrieve function documentation and list package symbols from Wolfram Mathematica.
kb-mcp-server
An MCP server aimed to be portable, local, easy and convenient to support semantic/graph based retrieval of txtai "all in one" embeddings database. Any txtai embeddings db in tar.gz form can be loaded
Research MCP Server
The server functions as an MCP server to interact with Notion for retrieving and creating survey data, integrating with the Claude Desktop Client for conducting and reviewing surveys.