# vercel-mcp [Official] [Health: Active]

**Category:** ☁️ Cloud Platforms  
**Repository:** https://github.com/vercel/vercel-mcp-overview  
**GitHub Stars:** 18  
**Views:** 0  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/vercel-mcp

## Description
Public overview of Vercel's MCP server for the github.com/mcp directory. Full documentation at https://vercel.com/docs/mcp/vercel-mcp

## Claude Desktop Quick Installation
Remote MCP endpoint (confidence: high). Install path detected from listing signals. Add as a URL/SSE server in your client:

```json
"mcpServers": {
  "vercel-mcp": {
    "url": "https://mcp.vercel.com"
  }
}
```

## Documentation

## What vercel-mcp MCP server does

The vercel-mcp MCP server provides AI tools with secure access to Vercel projects. It is Vercel’s official MCP endpoint, intended for use from compatible MCP clients rather than as a package that must be installed locally. The repository serves as a public overview for the MCP directory, while the linked Vercel documentation contains the full setup details.

Developers evaluating the server should use Vercel’s documentation and tools reference to confirm whether the available capabilities match their workflow.

## How it works

Clients connect to the hosted MCP URL:

`https://mcp.vercel.com`

After the connection is configured, an MCP-compatible AI tool can use the server’s project-access capabilities. The server is hosted by Vercel, so the repository excerpt does not describe a local process, build command, package installation, or self-hosted deployment model.

The vercel-mcp MCP server is therefore most relevant when the client already supports MCP connections and the task involves Vercel projects. The connection method, authentication flow, and available permissions should be checked in Vercel’s full documentation before deployment in a production workflow.

## Setup and configuration

Setup begins by adding the hosted endpoint to an MCP client:

`https://mcp.vercel.com`

The README points to setup instructions for Claude, ChatGPT, Cursor, VS Code, and other supported clients.

Because the server is accessed through a hosted URL, developers should not assume that installing a repository package is part of the setup.

## Tools and capabilities

The documented capability is secure access to Vercel projects from AI tools. Vercel also publishes a separate tools reference, but the supplied repository material does not include the names or descriptions of those tools.

For an accurate capability review, consult the official tools reference before relying on a particular project operation. This avoids treating the general project-access description as a complete inventory of supported actions.

## Limitations and notes

It confirms the official Vercel endpoint, the general project-access purpose, and several client categories, but it does not specify authentication requirements, permissions, tool schemas, rate limits, or error behavior.

The vercel-mcp MCP server should therefore be assessed with the linked Vercel documentation before implementation. In particular, verify the client setup instructions and the current tools reference for the operations and access model needed by your agent.

_Full upstream README: https://allmcps.com/mcp/vercel-mcp/readme_