A
acashmoney/bio-mcp
BioMCP: Enabling agent-based biomedical R&D
View on GitHub ↗Link checked 2026-11-12 · automated check blocked (HTTP 429), status unconfirmed
Install & config
Client config (built from the install command this repo gives)
{
"mcpServers": {
"acashmoney-bio-mcp": {
"command": "npx",
"args": ["-y", "@smithery/cli"]
}
}
}Parsed from the README we fetched on 2026-11-06; we have not executed it.
command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
"servers": {
"acashmoney-bio-mcp": {
"command": "npx",
"args": ["-y", "@smithery/cli"]
}
}
}Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio acashmoney-bio-mcp -- npx -y @smithery/cli
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
- Source
- collected from the abordage/awesome-mcp list · type: MCP server
- Harvest history
- first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 10 sources
- Score
- score 1,003 · 10 sources · mcp
- Install
npx -y @smithery/cli
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
npx -y @smithery/cli. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-11-05；last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.
# BioMCP: Enabling agent-based biomedical R&D
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
## 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
## Getting Started
### Installing via Smithery
To install BioMCP for Claude Desktop automatically via Smithery:
bash
npx -y @smithery/cli install @acashmoney/bio-mcp --client claude
### Manual Installation
bash
# Clone the repository
git clone https://github.com/acashmoney/bio-mcp.git
# Install dependencies
npm install
# Start the server
npm start
## Setup Instructions
### Running the MCP Inspector
1. Start the BioMCP server:
bash
npm start
2. In a separate terminal, install the MCP Inspector globally (if not already installed):
bash
npm install -g @anthropic-ai/mcp-inspector
3. Launch the MCP Inspector and connect to your local BioMCP server:
bash
npx @modelcontextprotocol/inspector node build/index.js
4. Use the inspector interface to test tools and view responses.
### Using with Claude Desktop
1. Build the BioMCP server:
bash
npm run build
2. Configure Claude Desktop to launch the MCP server:
a. Locate your Claude Desktop config.json file (typically in your user directory)
b. Edit the config.json to include the BioMCP server build path. Example configuration:
json
"globalShortcut": "",
"mcpServers": {
"bio-mcp": {
"command": "node",
"args": [
"/path/to/your/build/index.js"
c. Replace /path/to/your/build with your actual path to the project directory.
3. Restart Claude Desktop for the changes to take effect.
4. You can now ask Claude questions that utilize the BioMCP tools:
"What are the key residues in the active site of PDB structure 6LU7?"
"Find proteins related to Alzheimer's disease"
## Example Usage
When integrated with a compatible language model, Bio-MCP enables queries like:
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
## Getting Started
### Installing via Smithery
To install BioMCP for Claude Desktop automatically via Smithery:
bash
npx -y @smithery/cli install @acashmoney/bio-mcp --client claude
### Manual Installation
bash
# Clone the repository
git clone https://github.com/acashmoney/bio-mcp.git
# Install dependencies
npm install
# Start the server
npm start
## Setup Instructions
### Running the MCP Inspector
1. Start the BioMCP server:
bash
npm start
2. In a separate terminal, install the MCP Inspector globally (if not already installed):
bash
npm install -g @anthropic-ai/mcp-inspector
3. Launch the MCP Inspector and connect to your local BioMCP server:
bash
npx @modelcontextprotocol/inspector node build/index.js
4. Use the inspector interface to test tools and view responses.
### Using with Claude Desktop
1. Build the BioMCP server:
bash
npm run build
2. Configure Claude Desktop to launch the MCP server:
a. Locate your Claude Desktop config.json file (typically in your user directory)
b. Edit the config.json to include the BioMCP server build path. Example configuration:
json
"globalShortcut": "",
"mcpServers": {
"bio-mcp": {
"command": "node",
"args": [
"/path/to/your/build/index.js"
c. Replace /path/to/your/build with your actual path to the project directory.
3. Restart Claude Desktop for the changes to take effect.
4. You can now ask Claude questions that utilize the BioMCP tools:
"What are the key residues in the active site of PDB structure 6LU7?"
"Find proteins related to Alzheimer's disease"
## Example Usage
When integrated with a compatible language model, Bio-MCP enables queries like:
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- awesome · https://github.com/acashmoney/bio-mcp
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