Vercel MCP Server
Official Vercel MCP server for searching docs, managing projects, inspecting deployments, and querying Web Analytics.
About this Server
Vercel MCP (`vercel` / `https://mcp.vercel.com`) is Vercel’s official remote Model Context Protocol server. It provides AI coding assistants with secure, OAuth-authenticated access to manage Vercel projects, inspect build logs, monitor preview and production deployments, search official documentation, and query Web Analytics visitors, page views, and custom events over modern Streamable HTTP.
Direct low-latency RPC protocol communication with structured JSON schemas.
Restricted capability bounds to prevent accidental modifications or leakage.
Security & Best Practices
When to Use (and When Not To)
- •Troubleshooting failed Next.js and frontend builds on Vercel directly within AI coding assistants
- •Querying Vercel Web Analytics and traffic metrics without opening the web dashboard
- •Managing environment variables, custom domains, and preview aliases across Vercel teams
- •Multi-cloud AWS CLI execution or EC2/ECS management (use AWS Cloud MCP Server instead)
- •Azure Virtual Machines, AKS, and Key Vault access (use Azure MCP Server instead)
- •Kubernetes cluster administration and Helm deployments (use Kubernetes MCP instead)
Install & Setup
claude mcp add --transport http vercel https://mcp.vercel.comExposed Tools & Endpoints
6 toolsFunctions your AI agent can invoke via this Model Context Protocol server
Lists all projects in the authenticated Vercel team or personal account with active framework presets and settings.
Retrieves comprehensive details and status for a specific deployment ID or URL.
Fetches build and runtime execution logs for diagnosing deployment errors and edge middleware failures.
Lists recent production and preview deployments for a project filtered by branch or target state.
Queries Vercel Web Analytics for visitors, page views, referral sources, and custom tracked events.
Searches canonical Vercel and Next.js documentation for guides, SDK APIs, and deployment configurations.