vercel-api-mcp
This is a lightweight Model Control Protocol (MCP) server bootstrapped with [create-mcp](https://github.com/zueai/create-mcp), and deployed on Cloudflare Workers.
This MCP server allows AI agents (such as Cursor) to interface with the [Vercel API](https://vercel.com/docs/api).
It's still under development, I will be adding more tools as I find myself needing them.
Available Tools
See [src/index.ts](src/index.ts) for the current list of tools. Every method in the class is an MCP tool.
Installation
- Run the automated install script to clone this MCP server and deploy it to your Cloudflare account:
- Open `Cursor Settings -> MCP -> Add new MCP server` and paste the command that was copied to your clipboard.
- Upload your [Vercel API token](https://vercel.com/account/tokens) as a secret:
Deploying Changes
- Run the deploy script:
- Then reload your Cursor window to use the updated tools.
How to create new MCP tools
To create new MCP tools, add methods to the `MyWorker` class in `src/index.ts`. Each function will automatically become an MCP tool that your agent can use.
Example:
The JSDoc comments are important:
- First line becomes the tool's description
- `@param` tags define the tool's parameters with types and descriptions
- `@return` tag specifies the return value and type
Learn More
Check out the following resources to learn more:
- [create-mcp Documentation](https://github.com/zueai/create-mcp) - learn about the create-mcp CLI
- [Model Control Protocol Documentation](https://modelcontextprotocol.io) - learn about the model control protocol
- [workers-mcp](https://github.com/cloudflare/workers-mcp) - the package that implements the MCP protocol for Cloudflare Workers
- [Cloudflare Workers documentation](https://developers.cloudflare.com/workers/) - learn about the Cloudflare Workers platform
- [Vercel API Documentation](https://vercel.com/docs/api) - learn about the Vercel API