mcp-vercel-server
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A Python-based tool for interacting with the Vercel API via a Model Context Protocol (MCP) implementation that can be extended to allow AI systems and humans to interact with Vercel's API in a structured way.
The Vercel MCP Server is a Python-based tool designed to facilitate interaction with the Vercel API through a Model Context Protocol (MCP) implementation. This server allows both AI systems and human users to interact with Vercel's API in a structured and efficient manner. It integrates directly with Vercel's REST API, providing a terminal-based user interface for exploring various Vercel resources. The server is particularly designed to be AI-friendly, making it suitable for integration with AI assistants. Users can perform a variety of actions such as listing projects, deployments, and environment variables, as well as retrieving detailed project information and user account details. The server also supports checking the status of the server and listing deployment aliases, making it a comprehensive tool for managing Vercel resources.
Features
- REST API Integration: Directly communicates with Vercel's REST API
- Interactive Client: Terminal-based UI for exploring Vercel resources
- AI-Friendly Interface: Designed to work with AI assistants through the MCP protocol
Tools
List all Vercel projects
Retrieve a list of all projects in Vercel
List deployments with filtering options
Retrieve deployments with various filtering options
Get detailed project information
Fetch detailed information about a specific project
List project domains
Retrieve a list of domains associated with a project
List environment variables
Retrieve environment variables for a project
Get user account information
Fetch information about the user account
List deployment aliases
Retrieve aliases for deployments
Check server status
Check the current status of the server
