vercel mcp.md
title: Use Vercel product: vercel url: /docs/agent-resources/vercel-mcp canonical_url: "https://vercel.com/docs/agent-resources/vercel-mcp" last_updated: 2026-09-15 type: conceptual prerequisites: - /docs/agent-resources related: - /docs/agent-resources/vercel-mcp/tools summary: Vercel MCP has tools available for searching docs, managing teams, projects, and deployments, and querying Web Analytics. install_vercel_plugin: npx plugins add vercel/vercel-plugin
Use Vercel
🔒 Permissions Required: Vercel MCP (Beta)
Connect your AI tools to Vercel using the Model Context Protocol (MCP), an open standard that lets AI assistants interact with your Vercel projects.
Quick Setup
Use the add-mcp CLI to add the Vercel MCP to all your tools.
npx -y add-mcp https://mcp.vercel.com -g
What is Vercel MCP?
Vercel MCP is Vercel's official MCP server. It's a remote MCP with OAuth that gives AI tools secure access to your Vercel projects available at:
https://mcp.vercel.com
It integrates with popular AI assistants like Claude, enabling you to:
- Search and navigate Vercel documentation
- Manage projects and deployments
- Analyze deployment logs
- Query visitors, page views, and custom events
Vercel MCP implements the latest MCP Authorization and Streamable HTTP specifications.
Available tools
Vercel MCP provides a comprehensive set of tools for searching documentation, managing your Vercel projects, and querying Web Analytics. See the tools reference for detailed information about each available tool and the two main categories: public tools (available without authentication) and authenticated tools (requiring Vercel authentication).
Follow Manage Vercel projects with a software factory to give an eve agent read-only access to deployment data through Vercel Connect and diagnose failed deployments.
Connecting to Vercel MCP
To ensure secure access, Vercel MCP only supports AI clients that have been reviewed and approved by Vercel.
Supported clients
The list of supported AI tools that can connect to Vercel MCP to date:
- Claude Code
- Claude.ai and Claude for desktop
- ChatGPT
- Codex CLI
- Cursor
- VS Code with Copilot
- Devin
- Raycast
- Goose
- Windsurf
- Gemini Code Assist
- Gemini CLI
- OpenCode
- Pi
Setup
Connect your AI client to Vercel MCP and authorize access to manage your Vercel projects.
Install with add-mcp
Install the MCP server for all your coding agents:
npx add-mcp https://mcp.vercel.com
Add -y to skip the confirmation prompt and install to all detected agents already in use in the project directory. Add -g to install globally across all projects.
Security best practices
The MCP ecosystem and technology are evolving quickly. Here are our current best practices to help you keep your workspace secure:
- Verify the official endpoint - Always confirm you're connecting to Vercel's official MCP endpoint:
https://mcp.vercel.com - Trust and verification - Only use MCP clients from trusted sources and review our list of supported clients.
- Security awareness - Familiarize yourself with key security concepts like prompt injection to better protect your workspace.
- Confused deputy protection - Vercel MCP protects against confused deputy attacks by requiring explicit user consent for each client connection.
- Protect your data - Carefully review the permissions and data access levels of each agent and MCP tool.
- Enable human confirmation - Always enable human confirmation in your workflows to maintain control and prevent unauthorized changes.