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