vercel-api-mcp
by zueai
This is a lightweight Model Control Protocol (MCP) server that allows AI agents to interface with the Vercel API. It's bootstrapped with create-mcp and deployed on Cloudflare Workers.
Last updated: N/A
What is vercel-api-mcp?
This is an MCP server that provides AI agents with tools to interact with the Vercel API. It's built using create-mcp and deployed on Cloudflare Workers for easy access and management.
How to use vercel-api-mcp?
Install the server using the provided bun create mcp command. Add the server to your AI agent's MCP settings. Upload your Vercel API token as a secret. Deploy changes using bun run deploy and reload your AI agent window.
Key features of vercel-api-mcp
Allows AI agents to interact with Vercel API
Lightweight and easy to deploy
Uses Model Control Protocol (MCP)
Extensible with custom tools
Deployed on Cloudflare Workers
Use cases of vercel-api-mcp
Automating Vercel deployments
Managing Vercel projects via AI agents
Integrating Vercel with other AI-powered workflows
Querying Vercel API for project information
Creating custom Vercel API interactions
FAQ from vercel-api-mcp
What is MCP?
What is MCP?
Model Control Protocol (MCP) is a protocol that allows AI agents to interact with external tools and services.
What is create-mcp?
What is create-mcp?
create-mcp is a CLI tool used to bootstrap MCP servers.
Why Cloudflare Workers?
Why Cloudflare Workers?
Cloudflare Workers provides a serverless environment for deploying the MCP server.
How do I add new tools?
How do I add new tools?
Add methods to the MyWorker class in src/index.ts. Each function will automatically become an MCP tool.
Where can I find the available tools?
Where can I find the available tools?
See src/index.ts for the current list of available tools.