Python Medical MCP Server

Name: Python Medical MCP Server
Author: HeyBatlle1

@HeyBatlle1

リポジトリ

Python Medical MCP Server について

this is a cloned version of

#medical-mcp-server #python #fastapi

基本情報

カテゴリ

その他

ランタイム

python

トランスポート

stdio

公開者

HeyBatlle1

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

FAQ from Python Medical MCP Server

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.