Vapi MCP Server
Enables integration with Vapi's voice AI platform to manage assistants, create and schedule phone calls with dynamic variables, and manage phone numbers through function calling.
README
Vapi MCP Server
The Vapi Model Context Protocol server allows you to integrate with Vapi APIs through function calling.
<a href="https://glama.ai/mcp/servers/@VapiAI/mcp-server"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@VapiAI/mcp-server/badge" alt="Vapi Server MCP server" /> </a>
Claude Desktop Setup
- Open
Claude Desktopand pressCMD + ,to go toSettings. - Click on the
Developertab. - Click on the
Edit Configbutton. - This will open the
claude_desktop_config.jsonfile in your file explorer. - Get your Vapi API key from the Vapi dashboard (https://dashboard.vapi.ai/org/api-keys).
- Add the following to your
claude_desktop_config.jsonfile. See here for more details. - 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
- Create or import a phone number using the Vapi dashboard (https://dashboard.vapi.ai/phone-numbers).
- Create a new assistant using the existing 'Appointment Scheduler' template in the Vapi dashboard (https://dashboard.vapi.ai/assistants).
- Make sure to configure Claude Desktop to use the Vapi MCP server and restart the Claude Desktop app.
- 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:
Streamable HTTP (Recommended)
The default and recommended way to connect is via Streamable HTTP Transport:
- Connect to
https://mcp.vapi.ai/mcpfrom 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/ssefrom 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 assistantscreate_assistant: Creates a new Vapi assistantupdate_assistant: Updates an existing Vapi assistantget_assistant: Gets a Vapi assistant by ID
Call Tools
list_calls: Lists all Vapi callscreate_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_callaction supports scheduling calls for immediate execution or for a future time. You can also pass dynamic variables usingassistantOverrides.variableValuesto personalize assistant messages.
Phone Number Tools
list_phone_numbers: Lists all Vapi phone numbersget_phone_number: Gets details of a specific phone number
Vapi Tools
list_tools: Lists all Vapi toolsget_tool: Gets details of a specific tool
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
E2B
Using MCP to run code via e2b.