Lovable

Lovable MCP

The official Model Context Protocol server for Lovable, an AI-powered full-stack app builder.

Connect Claude, Cursor, Codex, and other MCP-compatible clients to Lovable so they can create, edit, deploy, and manage Lovable projects through natural language.

Endpoint

https://mcp.lovable.dev

Transport: Streamable HTTP.

Authentication

OAuth 2.1. MCP clients discover the authorization server via RFC 9728 metadata at https://mcp.lovable.dev/.well-known/oauth-protected-resource and obtain a bearer token automatically. The token is passed as Authorization: Bearer <token>.

Install

Claude, Claude Code, and ChatGPT need only the URL. Any other client must also pass Lovable's public OAuth client ID (6d465f583e1e4ce5801b1616f735670c), shown below.

Claude Code

claude mcp add --transport http lovable https://mcp.lovable.dev

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "lovable": {
      "type": "http",
      "url": "https://mcp.lovable.dev"
    }
  }
}

ChatGPT

Add the URL directly — no client ID needed:

https://mcp.lovable.dev

Cursor / Windsurf

Add to your client's MCP config (~/.cursor/mcp.json, or Windsurf's mcp_config.json):

{
  "mcpServers": {
    "lovable": {
      "type": "http",
      "url": "https://mcp.lovable.dev",
      "auth": {
        "CLIENT_ID": "6d465f583e1e4ce5801b1616f735670c"
      }
    }
  }
}

VS Code

{
  "servers": {
    "lovable": {
      "type": "http",
      "url": "https://mcp.lovable.dev",
      "auth": {
        "CLIENT_ID": "6d465f583e1e4ce5801b1616f735670c"
      }
    }
  }
}

Codex CLI

codex mcp add lovable --url https://mcp.lovable.dev
codex mcp login lovable

Other clients

Use the same type: http + url + auth.CLIENT_ID shape as the Cursor example above.

Tools

The server exposes tools across these areas:

• Projects & workspaces — list, create, deploy, remix, inspect; manage visibility
• Agent interaction — send messages to a project's AI agent and retrieve responses
• Code inspection — diffs, file tree, file contents, edit history
• Knowledge — read and write project / workspace AI instructions
• Cloud database — enable a Postgres database, check status, run SQL, get connection info
• Connectors & MCP servers — list, add, and remove external integrations (Linear, Notion, Slack, custom MCP, …)
• Templates & libraries — browse template and library projects
• Analytics — historical and real-time project traffic
• File uploads — generate upload URLs for attaching images