Python Medical MCP Server

@HeyBatlle1

About Python Medical MCP Server

this is a cloned version of

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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.

What dependencies are required?

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

Frequently asked questions

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

Comments

Basic information

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