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acashmoney/bio-mcp

BioMCP: Enabling agent-based biomedical R&D

装之前:没有可直接复制的命令 · 许可证未标注 · 站点拦截自动检测

第一步:npx -y @smithery/cli install @acashmoney/bio-mcp --client claude

在 GitHub 查看 ↗链接已于 2026-11-12 核查 · 自动访问被拒(HTTP 429),状态未能确认
安装与配置
客户端配置(取自该仓库的安装命令)
{
  "mcpServers": {
    "acashmoney-bio-mcp": {
      "command": "npx",
      "args": ["-y", "@smithery/cli"]
    }
  }
}

解析自我们于 2026-11-06 抓取的该仓库 README;我们未执行过。

command/args 来自仓库写明的安装命令;不确定时请以该项目 README 为准。
VS Code(.vscode/mcp.json —— 键名是 servers)
{
  "servers": {
    "acashmoney-bio-mcp": {
      "command": "npx",
      "args": ["-y", "@smithery/cli"]
    }
  }
}
VS Code 顶层键是 <code>servers</code>,其余与上面那份相同。
Claude Code(命令行)
claude mcp add --transport stdio acashmoney-bio-mcp -- npx -y @smithery/cli
Claude Code 不收 JSON 文件,用这条命令直接加。
配置项的键名以你的客户端为准:客户端与 CLI
来源明细
收录自 abordage/awesome-mcp 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-11-05 · 最近见到 2026-11-14 · 共见到 10 次 · 被 10 个来源列出
评分构成
综合分 1,003 · 10 个来源 · mcp
安装
npx -y @smithery/cli
常见问题(答案都来自我们的记录)
怎么安装?
该仓库给出的安装命令是 npx -y @smithery/cli。我们的记录里它是仓库自己提供的;不保证在你的客户端上直接可用。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
我们收录于 2026-11-05;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。

# 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:
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来源
awesome · https://github.com/acashmoney/bio-mcp
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