Supabase MCP Server

The Supabase MCP Server is a bridge that lets AI assistants such as Claude, Cursor, and Windsurf interact directly with your Supabase projects. By adopting the Model Context Protocol (MCP) standard, it removes the need for custom API wrappers or manual authentication flows. Instead, an LLM can issue high‑level commands—create a table, fetch configuration, or run arbitrary SQL—and the server translates those into secure Supabase operations. This integration empowers developers to embed real‑time database access, schema management, and data analytics into conversational agents without exposing raw credentials or writing boilerplate code.

At its core, the server exposes a rich set of tools that mirror common Supabase functionalities. Developers can enable or disable groups of features through URL query parameters, such as to lock the server into a safe, non‑destructive mode or to limit access to a single project. The tool set includes CRUD operations on tables, retrieval of database schema, execution of custom SQL queries via a read‑only Postgres user, and even project‑level actions like listing organizations when not scoped. This granular control ensures that AI assistants operate within the intended boundaries, mitigating security risks while maintaining flexibility.

Real‑world scenarios benefit immediately from this tight coupling. A data analyst can ask an assistant to generate a summary of the latest sales table, and the LLM will fetch, process, and return insights—all without leaving the chat interface. A developer onboarding workflow can use the assistant to scaffold new tables or seed data, accelerating prototype development. Meanwhile, product managers can retrieve configuration flags or feature‑toggle states on demand, enabling data‑driven decision making directly from their conversational tools.

Integrating Supabase MCP into AI workflows is straightforward: clients such as Cursor or Claude simply point to the server URL, authenticate via OAuth in a browser prompt, and receive an automatically generated JSON configuration. Once connected, the assistant can issue MCP calls as part of its natural language processing pipeline, turning user queries into actionable database interactions. The result is a seamless, secure, and highly productive loop where language models become native database clients.

What sets the Supabase MCP Server apart is its emphasis on safety and configurability. By offering read‑only mode by default, it protects against accidental data loss or injection attacks. The ability to scope the server to a single project means developers can experiment with AI tools in isolation before rolling them out company‑wide. Combined with the standardized MCP interface, this server becomes a reusable component across teams, enabling consistent AI‑powered database access regardless of the underlying LLM or client platform.