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Vapi MCP for Cursor: Future-Proof APIs & Enterprise Performance - MCP Implementation

Vapi MCP for Cursor: Future-Proof APIs & Enterprise Performance

Vapi MCP for Cursor: Enterprise-grade MCP & HTTP servers, seamless API orchestration, and bulletproof performance—future-proof your infrastructure, no compromises.

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About Vapi MCP for Cursor

What is Vapi MCP for Cursor: Future-Proof APIs & Enterprise Performance?

Vapi MCP for Cursor is a Model Context Protocol (MCP) server designed to seamlessly integrate Vapi's advanced voice AI capabilities into Cursor workflows. This enables enterprises to leverage AI-driven voice solutions while ensuring robust performance and future-proof API compatibility. The server acts as a bridge between Cursor and Vapi's tools for voice call automation, assistant management, and conversation analysis.

How to Use Vapi MCP for Cursor: Future-Proof APIs & Enterprise Performance?

Deployment follows a structured workflow:

  1. Environment Setup: Configure `.env` with Vapi API credentials and environment settings.
  2. Build the Server: Use npm to compile TypeScript files into executable modules.
  3. Cursor Configuration: Define server parameters in `.cursor/mcp.json` with absolute paths, proper `cwd`, and explicit environment variables.
  4. Validation: Test server integrity using direct execution and error tracing.

Key point: Always use absolute paths in the `command` and `args` fields to prevent runtime failures.

Vapi MCP for Cursor Features

Key Features of Vapi MCP for Cursor: Future-Proof APIs & Enterprise Performance?

  • ES Module Support: Requires `package.json` to declare `"type": "module"` for modern JavaScript compatibility.
  • Granular Control: Explicit management of environment variables ensures security and reliability.
  • Diagnostic Integration: Built-in error tracing and troubleshooting workflows reduce deployment friction.
  • Production-Ready Tools: Includes tools like vapi_call for outbound calls and vapi_assistant for voice assistant lifecycle management.

Use Cases of Vapi MCP for Cursor: Future-Proof APIs & Enterprise Performance?

Primary applications include:

  • Enterprise Call Automation: Deploy AI-powered voice assistants for customer support or sales.
  • Conversation Analytics: Extract insights from call transcripts using vapi_conversation.
  • Dynamic Assistant Management: Scale voice assistant configurations via Cursor's workflow automation.
  • API Future-Proofing: Maintain compatibility with upcoming Vapi API versions through modular design.

Vapi MCP for Cursor FAQ

FAQ from Vapi MCP for Cursor: Future-Proof APIs & Enterprise Performance?

Why do I get "Client Closed" errors?

Resolution: Verify `cwd` matches the server directory, ensure all environment variables are explicitly set in `mcp.json`, and confirm `package.json` declares ES modules. Run node --trace-warnings locally for diagnostics.

What causes "Cannot find module" errors?

Fix: Rebuild the project with npm run build and ensure dependencies are installed. Check file permissions using chmod +x if necessary.

Do I need to repeat environment variables in Cursor's config?

Yes: Cursor requires explicit configuration of all sensitive variables directly in `mcp.json` for security and reliability.

Content

Vapi MCP for Cursor

This project implements a Model Context Protocol (MCP) server for integrating Vapi's voice AI capabilities with Cursor.

Setup Instructions

1. Project Structure

The Vapi MCP server is structured as follows:

  • vapi-mcp-server/ - Main server code
    • src/ - TypeScript source files
    • dist/ - Compiled JavaScript output
    • .env - Environment variables for API keys

2. Environment Configuration

Create a .env file in the vapi-mcp-server directory with the following variables:

# Vapi API Keys
VAPI_ORG_ID=your-org-id
VAPI_PRIVATE_KEY=your-private-key
VAPI_KNOWLEDGE_ID=your-knowledge-id
VAPI_JWT_PRIVATE=your-jwt-private

# Environment
NODE_ENV=development

3. Building the Server

To build the server:

cd vapi-mcp/vapi-mcp-server
npm install
npm run build

4. Configuration in Cursor

Important: Avoiding "Client Closed" Errors

When configuring the Vapi MCP server in Cursor's MCP settings, pay attention to the following crucial details:

  1. Working Directory : The cwd parameter is required to ensure the server runs in the correct directory and can access the .env file properly.

  2. Environment Variables : Must be explicitly provided in the configuration, even if they exist in the .env file.

  3. Module Type : The server uses ES modules, so the package.json must include "type": "module".

Here's the correct configuration for .cursor/mcp.json:

"Vapi Voice AI Tools": {
  "command": "node",
  "type": "stdio",
  "args": [
    "/Users/matthewcage/Documents/AA-GitHub/MCP/vapi-mcp/vapi-mcp-server/dist/index.js"
  ],
  "cwd": "/Users/matthewcage/Documents/AA-GitHub/MCP/vapi-mcp/vapi-mcp-server",
  "env": {
    "VAPI_ORG_ID": "your-org-id",
    "VAPI_PRIVATE_KEY": "your-private-key",
    "VAPI_KNOWLEDGE_ID": "your-knowledge-id",
    "VAPI_JWT_PRIVATE": "your-jwt-private",
    "NODE_ENV": "development"
  }
}

Troubleshooting

"Client Closed" Error in Cursor

If you see "Client Closed" in the Cursor MCP Tools panel:

  1. Check Working Directory : Ensure the cwd parameter is set correctly in your mcp.json

  2. Verify Environment Variables : Make sure all required environment variables are passed in the configuration

  3. Check Module Type : Ensure package.json has "type": "module"

  4. Inspect Permissions : Make sure the dist/index.js file is executable (chmod +x dist/index.js)

  5. Test Server Directly : Run the server manually to check for errors:

    cd vapi-mcp/vapi-mcp-server

node --trace-warnings dist/index.js

Module Not Found Errors

If you get "Error: Cannot find module" when running:

  1. Check Working Directory : Are you running from the correct directory?
  2. Rebuild : Try rebuilding the project with npm run build
  3. Dependencies : Ensure all dependencies are installed with npm install

Available Tools

The Vapi MCP server provides the following tools:

  1. vapi_call - Make outbound calls using Vapi's voice AI
  2. vapi_assistant - Manage voice assistants (create, get, list, update, delete)
  3. vapi_conversation - Retrieve conversation details from calls

Lessons Learned

  1. When integrating with Cursor's MCP:
* Always specify the `cwd` parameter to ensure the server runs in the correct directory
* Pass all required environment variables directly in the MCP configuration
* For ES modules, ensure package.json has `"type": "module"` and tsconfig.json uses appropriate module settings
* Test the server directly before configuring in Cursor
  1. The server command path must be absolute and correctly formed in the Cursor MCP config

  2. Using stdio transport type is required for proper integration with Cursor

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