Fire in da houseTop Tip:Paying $100+ per month for Perplexity, MidJourney, Runway, ChatGPT and other tools is crazy - get all your AI tools in one site starting at $15 per month with Galaxy AI Fire in da houseCheck it out free

mcp-server

MCP.Pizza Chef: VapiAI

The Vapi MCP Server is a Model Context Protocol server that facilitates integration with Vapi APIs through function calling. It enables seamless interaction between LLMs and Vapi's API ecosystem, allowing developers to extend AI capabilities by invoking Vapi functions directly within their workflows. This server supports easy setup with platforms like Claude Desktop and provides a streamlined way to connect LLMs to external API services securely and efficiently.

Use This MCP server To

Integrate Vapi APIs into LLM workflows via function calls Enable LLMs to invoke Vapi API functions dynamically Connect Claude Desktop with Vapi API for enhanced AI tasks Automate API interactions within AI-driven applications Extend AI capabilities with Vapi API integrations Facilitate secure API key management for Vapi services

README

Vapi MCP Server

smithery badge

The Vapi Model Context Protocol server allows you to integrate with Vapi APIs through function calling.

Vapi Server MCP server

Claude Desktop Setup

  1. Open Claude Desktop and press CMD + , to go to Settings.
  2. Click on the Developer tab.
  3. Click on the Edit Config button.
  4. This will open the claude_desktop_config.json file in your file explorer.
  5. Get your Vapi API key from the Vapi dashboard (https://dashboard.vapi.ai/org/api-keys).
  6. Add the following to your claude_desktop_config.json file. See here for more details.
  7. Restart the Claude Desktop after editing the config file.
{
  "mcpServers": {
    "vapi-mcp-server": {
      "command": "npx",
      "args": [
          "-y",
          "@vapi-ai/mcp-server"
      ],
      "env": {
        "VAPI_TOKEN": "<your_vapi_token>"
      }
    }
  }
}

Example Usage with Claude Desktop

  1. Create or import a phone number using the Vapi dashboard (https://dashboard.vapi.ai/phone-numbers).
  2. Create a new assistant using the existing 'Appointment Scheduler' template in the Vapi dashboard (https://dashboard.vapi.ai/assistants).
  3. Make sure to configure Claude Desktop to use the Vapi MCP server and restart the Claude Desktop app.
  4. Ask Claude to initiate or schedule a call. See examples below:

Example 1: Request an immediate call

I'd like to speak with my ShopHelper assistant to talk about my recent order. Can you have it call me at +1234567890?

Example 2: Schedule a future call

I need to schedule a call with Mary assistant for next Tuesday at 3:00 PM. My phone number is +1555123456.

Remote SSE Connection

To connect to Vapi's MCP server via Server-Sent Events (SSE) Transport:

  • Connect to https://mcp.vapi.ai/sse from any MCP client using SSE Transport
  • Include your Vapi API key as a bearer token in the request headers
  • Example header: Authorization: Bearer your_vapi_api_key_here

This connection allows you to access Vapi's functionality remotely without running a local server.

Development

# Install dependencies
npm install

# Build the server
npm run build

Update your claude_desktop_config.json to use the local server.

{
  "mcpServers": {
    "vapi-local": {
      "command": "node",
      "args": [
        "<path_to_vapi_mcp_server>/dist/index.js"
      ],
      "env": {
        "VAPI_TOKEN": "<your_vapi_token>"
      }
    },
  }
}

Testing

The project has two types of tests:

Unit Tests

Unit tests use mocks to test the MCP server without making actual API calls to Vapi.

# Run unit tests
npm run test:unit
End-to-End Tests

E2E tests run the full MCP server with actual API calls to Vapi.

# Set your Vapi API token
export VAPI_TOKEN=your_token_here

# Run E2E tests
npm run test:e2e

Note: E2E tests require a valid Vapi API token to be set in the environment.

Running All Tests

To run all tests at once:

npm test

References

Supported Actions

The Vapi MCP Server provides the following tools for integration:

Assistant Tools

  • list_assistants: Lists all Vapi assistants
  • create_assistant: Creates a new Vapi assistant
  • update_assistant: Updates an existing Vapi assistant
  • get_assistant: Gets a Vapi assistant by ID

Call Tools

  • list_calls: Lists all Vapi calls
  • create_call: Creates an outbound call
  • get_call: Gets details of a specific call

Note: The create_call action supports scheduling calls for immediate execution or for a future time.

Phone Number Tools

  • list_phone_numbers: Lists all Vapi phone numbers
  • get_phone_number: Gets details of a specific phone number

Vapi Tools

  • list_tools: Lists all Vapi tools
  • get_tool: Gets details of a specific tool

mcp-server FAQ

How do I set up the Vapi MCP Server with Claude Desktop?
Open Claude Desktop settings, edit the config file to add your Vapi API key, and restart the app.
What is required to authenticate the Vapi MCP Server?
You need a Vapi API key from the Vapi dashboard to authenticate requests.
Can the Vapi MCP Server be used with LLMs other than Claude?
Yes, it supports integration with various LLM providers like OpenAI, Claude, and Gemini through MCP.
How does the Vapi MCP Server handle function calling?
It exposes Vapi API functions to the MCP client, enabling LLMs to call these functions directly.
Is the Vapi MCP Server secure?
Yes, it uses scoped API keys and secure communication to protect your data and API access.
Where can I find more documentation for the Vapi MCP Server?
Documentation is available on the Model Context Protocol website and the Vapi GitHub repository.
Can I use the Vapi MCP Server to automate workflows?
Yes, it enables automation by allowing LLMs to trigger Vapi API functions programmatically.
Does the Vapi MCP Server support real-time context updates?
Yes, it supports real-time context feeding to LLMs for dynamic API interactions.