Vercel - MCP Tool

Integrate with Vercel's serverless infrastructure for AI model interactions like chatbots and content generation.

What is Vercel MCP?

Vercel MCP enables Cursor to communicate with Vercel's API directly through the Model Context Protocol. This integration lets AI assistants in Cursor access and manage Vercel resources without requiring you to switch contexts.

Setting Up Vercel MCP

Step 1: Access MCP Settings

Open Cursor and navigate to Settings → Features → MCP section to manage your Model Context Protocol connections.

Step 2: Add Vercel Server

Click the “+ Add New MCP Server” button and fill in the configuration details for Vercel.

Step 3: Configure Connection

Enter the following information:

Name: Vercel
Type: Select the appropriate transport (usually SSE)
URL: Enter the Vercel MCP endpoint
API Key: Add your Vercel API key if required

Step 4: Verify Connection

After adding the server, it should appear in your MCP servers list. Click the refresh button to confirm the tools are available.

Using Vercel with Cursor

Once you've set up the Vercel MCP connection, Cursor can interact with Vercel services directly. Here's how to use it:

Automatic detection: Cursor will recognize when your prompts relate to Vercel and will suggest using the appropriate tools.
Direct reference: You can explicitly mention Vercel in your prompts to activate the integration.
Task approval: When Cursor wants to use Vercel MCP, it will request your approval before executing the action.

Example Use Cases

Here are some ways you can leverage the Vercel MCP integration:

Ask Cursor to fetch information from your Vercel account
Request Cursor to perform routine Vercel operations
Use Cursor to analyze and work with your Vercel data directly

Note:

MCP tools may not be compatible with all AI models in Cursor. For best results, use with Claude models which have the strongest MCP support.

Vercel MCP