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MedX MCP Server

by yepdama
GitHub
Python
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MedX MCP Server

AI-powered clinical agentic platform featuring MedX-powered AI Agents and HealthOS, delivering advanced diagnostic support and personalized healthcare.

Overview

The MedX MCP Server provides a RESTful API for AI agents to access medical AI capabilities. It supports:

  • Advanced diagnostic support

  • Personalized healthcare recommendations

  • Clinical decision support

  • AI-powered medical consultations

Features

  • ✅ RESTful API with Server-Sent Events (SSE) streaming

  • ✅ Asynchronous tool execution

  • ✅ Session management for conversations

  • ✅ Idempotent requests

  • ✅ Tool cancellation

  • ✅ Health and readiness checks

Quick Start

Server Setup

# Install dependencies pip install -r requirements.txt # Set environment variables export OPENAI_API_KEY="your-openai-key" export MCP_SERVER_TOKEN="your-secret-token" # Run server python main.py

Server runs on http://localhost:8000 by default.

Client Usage

from client import MCPClient # Initialize client client = MCPClient( base_url="http://localhost:8000", auth_token="your-token" ) # Discover capabilities manifest = await client.discover() print(manifest['description']) # Call a tool result = await client.call_tool( tool="openai_chat", input_data={ "messages": [{"role": "user", "content": "What is anemia?"}] } )

Documentation

Client SDK

The project includes a Python client SDK in the client/ directory:

# Install client dependencies pip install -r client/requirements.txt # Use in your code from client import MCPClient

See CLIENT_USAGE_GUIDE.md for complete examples.

Examples

  • examples/simple_client_example.py - Basic client usage

  • examples/langchain_integration_example.py - LangChain agent integration

API Endpoints

  • GET /mcp/manifest - Discover server capabilities and tools

  • POST /mcp/execute - Execute a tool

  • GET /mcp/stream/{call_id} - Stream results

  • POST /mcp/cancel/{call_id} - Cancel a call

  • GET /healthz - Health check

  • GET /readyz - Readiness check

Configuration

Environment variables:

  • OPENAI_API_KEY - OpenAI API key (required)

  • MCP_SERVER_TOKEN - Bearer token for authentication (default: "super-secret-token")

  • SERVER_HOST - Server host (default: "0.0.0.0")

  • SERVER_PORT - Server port (default: 8000)

License

[Add your license here]

Support

For issues and questions, see the documentation files or create an issue.

This server cannot be installed

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security - not tested
F
license - not found
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quality - not tested

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Provides AI-powered medical consultation and clinical decision support through diagnostic analysis and personalized healthcare recommendations using OpenAI integration.

  1. Overview
    1. Features
      1. Quick Start
        1. Server Setup
        2. Client Usage
      2. Documentation
        1. Client SDK
          1. Examples
            1. API Endpoints
              1. Configuration
                1. License
                  1. Support

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