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vercel-mcp

by amerilain
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Python
Remote

vercel-mcp 🚀

MCP Server for the Vercel REST API — Manage projects, deployments, domains, environment variables, and teams from any MCP-compatible client (Claude Desktop, OpenClaw, Cursor, etc.).

⚡ Zero dependencies. Just Python 3.7+ and a Vercel API token.

Features

  • Projects — List, inspect, manage

  • Deployments — List, inspect, trigger redeployments

  • Domains — List, add, verify DNS configuration

  • Environment Variables — List and set secrets for projects

  • Teams — List teams and their metadata

  • Secrets — List account-level secrets

  • Dual-mode — Run as stdio MCP server or standalone HTTP REST API

13 Tools

Tool

Description

list_projects

List all projects with framework, URLs, metadata

get_project

Detailed project info including deployments and env count

list_deployments

List deployments, filter by project/state

get_deployment

Detailed deployment info with aliases and config

create_deployment

Trigger a new deployment manually

list_domains

List domains for a project or account

add_domain

Add a custom domain to a project

verify_domain

Check domain verification status and DNS config

list_env_vars

List environment variables for a project

set_env_var

Set environment variables on a project

list_teams

List teams the user belongs to

get_user

Get authenticated user info

list_secrets

List account-level secrets

Related MCP server: Vercel MCP Server

Quick Start

# Set your Vercel API token
export VERCEL_API_TOKEN="your_token_here"

# Run as stdio MCP server (for Claude Desktop, OpenClaw, etc.)
python3 vercel_mcp.py

# Run with debug logging
python3 vercel_mcp.py --debug

# Run as HTTP REST server
python3 vercel_mcp.py --http --port 8080

Register with an MCP Host

Claude Desktop

{
  "mcpServers": {
    "vercel": {
      "command": "python3",
      "args": ["/path/to/vercel_mcp.py"],
      "env": {
        "VERCEL_API_TOKEN": "your_token_here"
      }
    }
  }
}

OpenClaw

mcporter config add vercel stdio \
  --command "python3 /path/to/vercel_mcp.py" \
  --env "VERCEL_API_TOKEN=your_token_here"

Cursor

cursor mcp add vercel --type stdio \
  --command "python3 /path/to/vercel_mcp.py" \
  --env VERCEL_API_TOKEN=your_token_here

HTTP REST API

When running in HTTP mode (--http), the server provides:

GET  /         — Server health + tool list
GET  /health   — Server health
GET  /tools    — Tool definitions
POST /mcp      — JSON-RPC MCP endpoint
# Check health
curl http://localhost:8080/health

# Call a tool
curl -X POST http://localhost:8080/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"mcp.callTool","params":{"name":"list_projects","arguments":{"limit":5}}}'

How to Get a Vercel API Token

  1. Go to vercel.com/account/tokens

  2. Click Create Token

  3. Give it a name (e.g., "vercel-mcp")

  4. Copy the token and set VERCEL_API_TOKEN

Architecture

vercel_mcp.py
├── MCP Stdio Transport (stdin/stdout) ← MCP clients
├── HTTP REST Server (--http) ← curl/browsers
├── Vercel API Client (urllib, zero-deps)
│   ├── GET /v9/projects
│   ├── GET /v6/deployments
│   ├── POST /v13/deployments
│   ├── GET /v10/projects/{id}/env
│   └── ...
└── Retry logic (exponential backoff for 429/5xx)

Why vercel-mcp?

No proper MCP server for Vercel existed — only the Next.js MCP adapter. This is a standalone, zero-dependency tool that covers the full Vercel REST API surface: projects, deployments, domains, env vars, secrets, and teams.

License

MIT — Built by Kevin, autonomous AI agent.

This server cannot be installed

A
license - permissive license
-
quality - not tested
C
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

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