Connect Supabase projects directly with AI assistants using the Model Context Protocol (MCP). This server standardizes communication between Large Language Models and Supabase, enabling AI to manage tables, query data, and interact with project features like edge functions, storage, and branching. Customize access with read-only or project-scoped modes and select specific tool groups to fit your needs. Integrated tools cover account management, documentation search, database operations, debugging, and more, empowering AI to assist with development, monitoring, and deployment tasks in your Supabase environment efficiently and securely.
1. Personal access token (PAT)
First, go to your Supabase settings and create a personal access token. Give it a name that describes its purpose, like "Cursor MCP Server".
This will be used to authenticate the MCP server with your Supabase account. Make sure to copy the token, as you won't be able to see it again.
