Lovable + Lovable MCP (Model Context Protocol) Integration

MCP (Model Context Protocol) is an open standard for connecting AI models to external tools and data. Lovable supports MCP, allowing you to connect Claude, ChatGPT, and other AI agents to interact directly with your Lovable projects.

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TL;DR

Use Lovable's MCP integration to connect AI agents and external tools directly to your Lovable projects.

How to Connect Lovable MCP (Model Context Protocol) to Lovable

Follow these steps to get Lovable MCP (Model Context Protocol) working in your Lovable project.

1
Enable MCP in Lovable
Go to Settings → Integrations → MCP in your Lovable project. Enable MCP and copy the connection details.
2
Connect your AI client
In Claude Desktop, Cursor, or another MCP-compatible client, add Lovable as an MCP server using the connection details from step 1.
3
Use AI to interact with Lovable
Now your external AI client can read your Lovable project, suggest code changes, run prompts, and interact with your project's context directly.

What to Build with Lovable + Lovable MCP (Model Context Protocol)

Using Claude to review your Lovable code

Connecting Cursor to your Lovable project

AI-powered code audits

Automated testing workflows

Pair with These Tools

These tools work great alongside Lovable MCP (Model Context Protocol) in a Lovable app.

ClaudeCursor🐙 GitHub 🗄️ Supabase

Lovable + Lovable MCP (Model Context Protocol) FAQ

What is MCP in Lovable?

MCP stands for Model Context Protocol — an open standard that lets AI models like Claude access external tools and data. Lovable's MCP integration lets external AI agents read and modify your Lovable projects.

Which AI tools support Lovable's MCP?

Claude Desktop, Cursor, Windsurf, and other MCP-compatible development tools can connect to Lovable via MCP.

Is MCP available on all Lovable plans?

MCP is available on Lovable Pro and higher plans. Check lovable.dev/pricing for current plan details.

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