Python Medical MCP Server

@HeyBatlle1

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

HeyBatlle1

关于 Python Medical MCP Server

this is a cloned version of

#medical-mcp-server#python #fastapi

Python Medical MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "medical-mcp-server": {
      "command": "python3",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Python Medical MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Python Medical MCP Server?

A Python-based server that provides a dual interface – direct Model Context Protocol (MCP) and an HTTP REST API (FastAPI) – for performing trauma assessments. It uses a shared core medical logic module and is designed for medical assessment applications.

How to use Python Medical MCP Server?

Clone the repository, create a Python virtual environment, install dependencies from requirements.txt, then run two processes: your existing MCP script and api_server.py. You can manage them manually or with PM2. Example commands: pm2 start your_original_mcp_script.py --name "python-mcp-direct" --interpreter python3 and pm2 start "uvicorn api_server:app --host 0.0.0.0 --port 8002" --name "python-mcp-http-api".

Key features of Python Medical MCP Server

Shared medical logic centralized in medical_core.py
FastAPI HTTP server with RESTful endpoints
CORS enabled for frontend applications
Pydantic validation for request and response
PM2 ready for process management

Use cases of Python Medical MCP Server

Performing trauma assessments via a direct MCP client
Integrating trauma assessment into web applications (e.g., Bolt.new) through the HTTP API
Deploying a medical assessment service usable by both AI agents and web frontends

常见问题

What interfaces does the Python Medical MCP Server provide?

It provides a direct MCP interface (via your original script) and an HTTP REST API interface (via FastAPI in `api_server.py`).

What are the main API endpoints?

`GET /api/status` returns the server status; `POST /api/medical/trauma-assessment` performs a trauma assessment and returns severity, immediate actions, and red flags.

How do I install and run the server?

Clone the repo, create a virtual environment, run `pip install -r requirements.txt`, then start the MCP script and the API server either manually or with PM2.

What dependencies are required?

Python dependencies listed in `requirements.txt`, including FastAPI, uvicorn, and Pydantic. PM2 (Node.js) is optional for process management

其他分类下的更多 MCP 服务器

EverArt

modelcontextprotocol

Model Context Protocol Servers

88.1K

Yuppsy

Yuppsy MCP: build and publish real estate websites from your AI assistant. Yuppsy lets your AI assistant create live websites for real estate agents and individual property listings. You don't need a designer or any code

Figs, Relationship Expert

Figs O'Sullivan, LMFT

Couples therapist Figs O'Sullivan (LMFT, 17 years, endorsed by Sue Johnson, creator of EFT) inside your AI. Ask relationship questions answered from his clinical writing, name the pattern in a fight, get a three-step rep