medikode-ai/mcp-server

@medikode/mcp-server

Model Context Protocol (MCP) server for Medikode's AI-driven medical coding platform. This package enables AI assistants like Claude Desktop, Cursor, and ChatGPT to access Medikode's medical coding tools directly.

Medikode's AI-driven medical coding platform dashboard showing API usage trends and analytics

🌟 Features

• 5 Powerful MCP Tools: Validate codes, QA charts, parse EOBs, calculate RAF scores, and more
• AI Assistant Integration: Works with Claude Desktop, Cursor, ChatGPT, and other MCP-compatible clients
• Secure: Uses your existing Medikode API keys with the same security and access controls
• Fast: Direct API access with caching for optimal performance
• Easy Setup: Simple configuration with npx - no local installation required

🚀 Quick Start

Installation

npm install -g @medikode/mcp-server

Configuration

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "medikode": {
      "command": "npx",
      "args": ["-y", "@medikode/mcp-server"],
      "env": {
        "MEDIKODE_API_KEY": "your_api_key_here"
      }
    }
  }
}

Cursor IDE

Add to your cursor_settings.json:

{
  "mcp": {
    "servers": {
      "medikode": {
        "command": "npx",
        "args": ["-y", "@medikode/mcp-server"],
        "env": {
          "MEDIKODE_API_KEY": "your_api_key_here"
        }
      }
    }
  }
}

🛠 Available Tools

1. validate_codes

Validates CPT/ICD-10 codes against clinical documentation.

Inputs:

• chart_text (string, required): Provider note or chart excerpt
• codes (array[string], required): CPT/ICD-10 codes to validate

Outputs:

• valid (boolean): Whether codes are valid for the chart
• recommendations (array[string]): Missing or conflicting codes

2. qa_chart

Performs a coding quality assurance check.

Inputs:

• chart_text (string, required): Clinical documentation to review

Outputs:

• issues_found (array[string]): Documentation or coding gaps
• suggested_codes (array[string]): Recommended additional codes

3. parse_eob

Extracts structured data from Explanation of Benefits (EOB) documents.

Inputs:

• eob_content (string, required): Raw EOB text (or PDF extracted text)

Outputs:

• payer (string): Insurance payer name
• claim_number (string): Claim reference number
• total_billed (number): Total amount billed
• total_allowed (number): Total amount allowed by payer
• insurance_paid (number): Amount paid by insurance
• patient_responsibility (number): Patient out-of-pocket amount

4. score_raf

Calculates RAF score and HCC capture from encounter documentation.

Inputs:

• chart_text (string, required): Clinical encounter documentation

Outputs:

• raf_score (float): Risk Adjustment Factor score
• hcc_codes (array[string]): Hierarchical Condition Category codes

5. multi_validate

Composite workflow that validates chart coding and calculates RAF in one step.

Inputs:

• chart_text (string, required): Clinical documentation
• codes (array[string], optional): Optional codes to validate

Outputs:

• validation_results (object): Results from validate_codes
• raf_results (object): Results from score_raf

💡 Example Usage

Once configured, you can use the tools in your AI assistant:

User: "Validate these codes for this chart: 99213, I10, E11.9"

AI: I'll help you validate those codes using the validate_codes tool...
[Tool call to validate_codes]

Based on the validation results:
- Code 99213: Valid for established patient office visit
- Code I10: Valid for essential hypertension
- Code E11.9: Valid for type 2 diabetes without complications

🔑 Authentication

All tools require a valid Medikode API key. You can obtain one by:

1. Signing up at medikode.ai
2. Generating an API key in your account settings
3. Setting the MEDIKODE_API_KEY environment variable

📊 Usage Tracking

All MCP tool usage is tracked and appears in your Medikode dashboard alongside regular API calls. This includes:

• Number of API calls made
• Charts processed
• EOBs parsed
• RAF scores calculated

🔧 Troubleshooting

Common Issues

MCP Server Not Found

• Ensure Node.js and npm are installed
• Verify the package is available via npx: npx @medikode/mcp-server --help

Authentication Errors

• Check that your API key is correct and active
• Verify the MEDIKODE_API_KEY environment variable is set
• Ensure your API key has the required permissions

Tool Not Available

• Restart your AI client after configuration changes
• Verify the MCP server configuration is correct
• Ensure your AI client supports MCP

📚 Documentation

• Medikode Documentation
• MCP Tools Guide
• API Reference

🛠 Development

Prerequisites

• Node.js 18.0.0 or higher
• npm or yarn
• Medikode API key

Local Development

1. Clone the repository:

   git clone https://github.com/medikode/mcp-server.git
   cd mcp-server
   

2. Install dependencies:

   npm install
   

3. Set up environment variables:

   cp env.example .env
   # Edit .env with your API key
   

4. Run in development mode:

   npm run dev
   

5. Test the MCP server:

   npm run test:routing
   

Building

npm run build

Testing

# Test WebSocket connection
node test-websocket.js

# Test ChatGPT integration
python test-chatgpt-integration.py

# Test environment routing
node test-environment-routing.js

🤝 Contributing

We welcome contributions! Please see our for details.

Development Workflow

1. Fork the repository
2. Create a feature branch: git checkout -b feature/amazing-feature
3. Commit your changes: git commit -m 'Add amazing feature'
4. Push to the branch: git push origin feature/amazing-feature
5. Open a Pull Request

Code Style

• Use ESLint for JavaScript linting
• Follow the existing code style
• Add tests for new features
• Update documentation as needed

🐛 Bug Reports

Found a bug? Please open an issue with:

• Clear description of the problem
• Steps to reproduce
• Expected vs actual behavior
• Environment details (Node.js version, OS, etc.)

💡 Feature Requests

Have an idea for a new feature? We'd love to hear it! Please open an issue with:

• Clear description of the feature
• Use case and benefits
• Any implementation ideas you have

📊 Changelog

See for a list of changes and version history.

🤝 Support

• Issues: GitHub Issues
• Documentation: docs.medikode.ai
• Email: support@medikode.ai
• Discord: Join our community

📄 License

ISC License - see file for details.

🔗 Links

• Website
• Documentation
• MCP Tools
• GitHub
• npm Package

🙏 Acknowledgments

• Built with Model Context Protocol
• Powered by Medikode medical coding platform
• Thanks to all our contributors and users!