Vercel MCP Server

What is Vercel MCP Server?

A Python-based tool that uses the Model Context Protocol (MCP) to provide a structured, AI-friendly interface for interacting with the Vercel API. It allows both humans and AI assistants to manage Vercel resources through a terminal-based client or programmatic server.

How to use Vercel MCP Server?

Clone the repository, install dependencies (pip install requests rich fastmcp), and set the VERCEL_TOKEN environment variable. Start the server with python mcp_vercel_server.py or the interactive client with python mcp_vercel_client.py.

Key features of Vercel MCP Server

• Direct REST API integration with Vercel
• Terminal-based interactive client for exploring resources
• Designed for AI assistant use via the MCP protocol
• 9 tools for managing Vercel projects, deployments, and more
• Filters and options for listing deployments

Use cases of Vercel MCP Server

• List and filter Vercel deployments for a project
• Retrieve detailed project information and environment variables
• Allow an AI assistant to check Vercel account and server status
• Manage project domains and deployment aliases from a terminal

FAQ from Vercel MCP Server

What dependencies does Vercel MCP Server require?

Python packages: requests, rich, and fastmcp.

How do I authenticate with the Vercel API?

Set the VERCEL_TOKEN environment variable to your Vercel API token before running the server or client.

Is an internet connection required?

Yes, the server communicates directly with Vercel's REST API over the internet.

Does Vercel MCP Server support authentication other than a Vercel token?

No. The README only documents authentication via the VERCEL_TOKEN environment variable.

What resources can I manage with Vercel MCP Server?

Projects, deployments, project domains, environment variables, deployment aliases, and user account information.