Vercel MCP Server

Vercel MCP Server

Enables AI assistants to interact with Vercel API for managing projects, deployments, domains, and environment variables.

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Vercel MCP Server

A Type 3 DAuth MCP server for Vercel API, enabling AI assistants to interact with Vercel projects, deployments, domains, and environment variables.

Features

  • Projects: List and get projects
  • Deployments: List, get, create, cancel deployments, and view deployment logs
  • Domains: List domains for a project
  • Environment Variables: List and update environment variables

Setup

1. Obtain Vercel API Token

  1. Go to vercel.com/account/tokens
  2. Create a new token with appropriate scopes
  3. Copy the token value

2. Environment Variables

Configure these environment variables:

VERCEL_TOKEN=your_vercel_token_here
VERCEL_TEAM_ID=optional_team_id_here  # Only if using a team account

Tools

Projects

  • list_projects: List all projects
  • get_project: Get a specific project by ID or name

Deployments

  • list_deployments: List deployments with optional filtering
  • get_deployment: Get deployment details by ID or URL
  • create_deployment: Create a new deployment
  • cancel_deployment: Cancel a building deployment
  • get_deployment_logs: Get build logs for a deployment

Domains

  • list_domains: List all domains for a project

Environment Variables

  • list_env_vars: List all environment variables for a project
  • update_env_var: Update an environment variable

Usage

from dedalus_mcp import runner

result = await runner.run(
    input="List my Vercel projects",
    mcp_servers=["dedalus-labs/vercel-mcp"],
)

API Reference

This server uses the Vercel REST API.

License

MIT

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