Voice Call MCP Server

A Model Context Protocol (MCP) server that enables Claude and other AI assistants to initiate and manage voice calls using Twilio and OpenAI.

Use this as a base to kick-start your AI-powered voice calling explorations, save time and develop additional functionality on top of it.

Sequence Diagram

sequenceDiagram
    participant AI as AI Assistant (e.g., Claude)
    participant MCP as MCP Server
    participant Twilio as Twilio
    participant Phone as Destination Phone
    participant OpenAI as OpenAI
    
    AI->>MCP: 1) Initiate outbound call request <br>(POST /calls)
    MCP->>Twilio: 2) Place outbound call via Twilio API
    Twilio->>Phone: 3) Ring the destination phone
    Twilio->>MCP: 4) Call status updates & audio callbacks (webhooks)
    MCP->>OpenAI: 5) Forward real-time audio to OpenaAI's realtime model
    OpenAI->>MCP: 6) Return voice stream
    MCP->>Twilio: 7) Send voice stream
    Twilio->>Phone: 8) Forward voice stream
    Note over Phone: Two-way conversation continues <br>until the call ends

Features

• Make outbound phone calls via Twilio 📞
• Process call audio in real-time with OpenAI 🎙️
• Pre-built prompts for common calling scenarios (like restaurant reservations) 🍽️
• Automatic public URL tunneling with ngrok 🔄
• Secure handling of credentials 🔒

Why MCP?

The Model Context Protocol (MCP) bridges the gap between AI assistants and real-world actions. By implementing MCP, this server allows AI models like Claude to:

1. Initiate actual phone calls on behalf of users
2. Process and respond to real-time audio conversations
3. Execute complex tasks requiring voice communication

This open-source implementation provides transparency and customizability, allowing developers to extend functionality while maintaining control over their data and privacy.

Requirements

• Node.js >= 22
  • If you need to update Node.js, we recommend using nvm (Node Version Manager):

    nvm install 22
    nvm use 22
    

• Twilio account with API credentials
• OpenAI API key
• Ngrok Authtoken

Installation

Manual Installation

1. Clone the repository

   git clone https://github.com/lukaskai/voice-call-mcp-server.git
   cd voice-call-mcp-server
   

2. Install dependencies and build

   npm install
   npm run build
   

Configuration

The server requires several environment variables:

• TWILIO_ACCOUNT_SID: Your Twilio account SID
• TWILIO_AUTH_TOKEN: Your Twilio auth token
• TWILIO_NUMBER: Your Twilio number
• OPENAI_API_KEY: Your OpenAI API key
• NGROK_AUTHTOKEN: Your ngrok authtoken
• RECORD_CALLS: Set to "true" to record calls (optional)

Claude Desktop Configuration

To use this server with Claude Desktop, add the following to your configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "voice-call": {
      "command": "node",
      "args": ["/path/to/your/mcp-new/dist/start-all.cjs"],
      "env": {
        "TWILIO_ACCOUNT_SID": "your_account_sid",
        "TWILIO_AUTH_TOKEN": "your_auth_token",
        "TWILIO_NUMBER": "your_e.164_format_number",
        "OPENAI_API_KEY": "your_openai_api_key",
        "NGROK_AUTHTOKEN": "your_ngrok_authtoken"
      }
    }
  }
}

After that, restart Claude Desktop to reload the configuration. If connected, you should see Voice Call under the 🔨 menu.

Example Interactions with Claude

Here are some natural ways to interact with the server through Claude:

1. Simple call:

Can you call +11234567890 and let them know I'll be 15 minutes late for our meeting?

2. Restaurant reservation:

Please call Delicious Restaurant at +11234567890 and make a reservation for 4 people tonight at 7:30 PM.

3. Appointment scheduling:

Call my dentist at +11234567890 and schedule a cleaning appointment for sometime next week Mon-Thu anytime between 4PM and 6PM.

Important Notes

1. Phone Number Format: All phone numbers must be in E.164 format (e.g., +11234567890)
2. Rate Limits: Be aware of your Twilio and OpenAI account's rate limits and pricing
3. Voice Conversations: The AI will handle natural conversations in real-time
4. Call Duration: Be mindful of call durations as they affect OpenAI API and Twilio costs
5. Public Exposure: Be aware that the ngrok tunnel exposes your server publicly for Twilio to reach it (though with a random URL and protected by a random secret)

Troubleshooting

Common error messages and solutions:

1. "Phone number must be in E.164 format"

   • Make sure the phone number starts with "+" and the country code

2. "Invalid credentials"

   • Double-check your TWILIO_ACCOUNT_SID and TWILIO_AUTH_TOKEN. You can copy them from the Twilio Console

3. "OpenAI API error"

   • Verify your OPENAI_API_KEY is correct and has sufficient credits

4. "Ngrok tunnel failed to start"

   • Ensure your NGROK_AUTHTOKEN is valid and not expired

5. "OpenAI Realtime does not detect the end of voice input, or is lagging."

   • Sometimes, there might be voice encoding issues between Twilio and the receiver's network operator. Try using a different receiver.

Contributing

Contributions are welcome! Here are some areas we're looking to improve:

• Implement support for multiple AI models beyond the current implementation
• Add database integration to store conversation history locally and make it accessible for AI context
• Improve latency and response times to enhance call experiences
• Enhance error handling and recovery mechanisms
• Add more pre-built conversation templates for common scenarios
• Implement improved call monitoring and analytics

If you'd like to contribute, please open an issue to discuss your ideas before submitting a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Security

Please do not include any sensitive information (like phone numbers or API credentials) in GitHub issues or pull requests. This server handles sensitive communications; deploy it responsibly and ensure all credentials are kept secure.

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