Vercel MCP
The official Vercel MCP server allows AI models to interact with your Vercel projects and deployments. It provides tools for listing projects, managing deployments, and retrieving logs. This integration is essential for developers using Vercel who want to automate their deployment workflows and monitor application health through AI.
How to Install
1. Ensure you have an MCP client installed (e.g., Claude Desktop)
2. Click 'Visit Source' below to get the code or package
3. Follow the README instructions in the project
4. Add the server configuration to your MCP client config file
Configuration Example (claude_desktop_config.json)
{
"mcpServers": {
"vercel": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-vercel"
],
"env": {
"VERCEL_TOKEN": "YOUR_VERCEL_TOKEN"
}
}
}
}Key Features
List and manage Vercel projects
Create and monitor deployments
Retrieve deployment logs and metadata
Configure environment variables and aliases
Server Details
The official Vercel MCP server allows AI models to interact with your Vercel projects and deployments. It provides tools for listing projects, managing deployments, and retrieving logs. This integration is essential for developers using Vercel who want to automate their deployment workflows and monitor application health through AI.
Pricing
freeTags
Visit Source / Official Link
Go to the official GitHub repository to view source code, documentation, and installation instructions.
GitHub Repository