What runtime and dependencies are required?
Node.js 18+ and a Vercel API token. The server runs locally or in Docker.
@nganiet
Basic information
MCP server connecting Claude to Vercel
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"vercel": {
"command": "node",
"args": [
"path_to_the_build_indexjs"
],
"env": {
"VERCEL_API_TOKEN": "YOUR TOKEN HERE"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
An MCP server that wraps Vercel's REST API into tools for AI Assistants like Claude and Cursor. It allows developers to manage deployments, projects, environment variables, and teams programmatically.
Install Node.js 18+, clone the repo, run npm install, configure a .env file with your VERCEL_API_TOKEN, and start the server with npm start. Then connect your MCP client (Claude, Cursor, or custom) via stdio or HTTP. Alternatively, deploy with Docker.
Node.js 18+ and a Vercel API token. The server runs locally or in Docker.
The server reads a `VERCEL_API_TOKEN` environment variable to authenticate with Vercel's REST API.
Yes. The README provides specific integration steps for both Claude Code and Cursor.
Yes. You can use `mcp-proxy` to expose it as an HTTP server on port 3399 for clients that support HTTP.
Data stays within your Vercel account; the server acts as a proxy and does not store any data locally.
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