Skip to main content
Glama

Vapi MCP Server

Official
by VapiAI

Vapi MCP Server

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

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.

Local Configuration

{ "mcpServers": { "vapi-mcp-server": { "command": "npx", "args": [ "-y", "@vapi-ai/mcp-server" ], "env": { "VAPI_TOKEN": "<your_vapi_token>" } } } }

Remote Configuration

{ "mcpServers": { "vapi-mcp": { "command": "npx", "args": [ "mcp-remote", "https://mcp.vapi.ai/mcp", "--header", "Authorization: Bearer ${VAPI_TOKEN}" ], "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.

Example 3: Make a call with dynamic variables

I want to call +1234567890 with my appointment reminder assistant. Use these details: - Customer name: Sarah Johnson - Appointment date: March 25th - Appointment time: 2:30 PM - Doctor name: Dr. Smith

Using Variable Values in Assistant Prompts

The create_call action supports passing dynamic variables through assistantOverrides.variableValues. These variables can be used in your assistant's prompts using double curly braces: {{variableName}}.

Example Assistant Prompt with Variables

Hello {{customerName}}, this is a reminder about your appointment on {{appointmentDate}} at {{appointmentTime}} with {{doctorName}}.

Default Variables

The following variables are automatically available (no need to pass in variableValues):

  • {{now}} - Current date and time (UTC)
  • {{date}} - Current date (UTC)
  • {{time}} - Current time (UTC)
  • {{month}} - Current month (UTC)
  • {{day}} - Current day of month (UTC)
  • {{year}} - Current year (UTC)
  • {{customer.number}} - Customer's phone number

For more details on default variables and advanced date/time formatting, see the official Vapi documentation.

Remote MCP

To connect to Vapi's MCP server remotely:

The default and recommended way to connect is via Streamable HTTP Transport:

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

SSE (Deprecated)

Server-Sent Events (SSE) Transport is still supported but deprecated:

  • 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 # Use inspector to test the server npm run inspector

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 with support for:
    • Immediate or scheduled calls
    • Dynamic variable values through assistantOverrides
  • get_call: Gets details of a specific call

Note: The create_call action supports scheduling calls for immediate execution or for a future time. You can also pass dynamic variables using assistantOverrides.variableValues to personalize assistant messages.

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
Install Server
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

hybrid server

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

Enables integration with Vapi APIs through function calling via the Model Context Protocol, allowing AI models to access Vapi's capabilities.

  1. Claude Desktop Setup
    1. Example Usage with Claude Desktop
  2. Remote SSE Connection
    1. Development
      1. Testing
    2. References
      1. Supported Actions
        1. Assistant Tools
        2. Call Tools
        3. Phone Number Tools
        4. Vapi Tools

      Related MCP Servers

      • -
        security
        F
        license
        -
        quality
        Facilitates interaction and context sharing between AI models using the standardized Model Context Protocol (MCP) with features like interoperability, scalability, security, and flexibility across diverse AI systems.
        Last updated -
        1
        Python
      • A
        security
        F
        license
        A
        quality
        Implements the Model Context Protocol (MCP) to provide AI models with a standardized interface for connecting to external data sources and tools like file systems, databases, or APIs.
        Last updated -
        1
        132
        Python
        • Apple
        • Linux
      • -
        security
        A
        license
        -
        quality
        A FastAPI-based implementation of the Model Context Protocol that enables standardized interaction between AI models and development environments, making it easier for developers to integrate and manage AI tasks.
        Last updated -
        10
        Python
        MIT License
      • -
        security
        F
        license
        -
        quality
        Enables seamless integration with Typecast API through the Model Context Protocol, allowing clients to manage voices, convert text to speech, and play audio in a standardized way.
        Last updated -
        2
        Python

      View all related MCP servers

      MCP directory API

      We provide all the information about MCP servers via our MCP API.

      curl -X GET 'https://glama.ai/api/mcp/v1/servers/VapiAI/mcp-server'

      If you have feedback or need assistance with the MCP directory API, please join our Discord server