The Supabase MCP Server is an open - source tool that allows IDEs to securely execute SQL, manage schema changes, call the Supabase management API, and use the Auth Admin SDK, with built - in security control.

The Supabase MCP Server is a tool that connects Supabase projects with AI assistants. It standardizes the interaction between large language models (LLMs) and external services through the Model Context Protocol (MCP), enabling functions such as database management, configuration acquisition, and data querying.

The Supabase MCP server is a tool based on the Model Context Protocol (MCP) that provides a standard interface for AI assistants to interact with Supabase databases, supporting database operations such as create, read, update, and delete.

The Supabase MCP Server is a feature - rich MCP server that allows clients such as Cursor and Windsurf to securely interact with Supabase databases. It provides functions such as database management, SQL query execution, and access to the Supabase management API, with built - in security control mechanisms.

A powerful Supabase database management MCP server that provides comprehensive database control functions through Cursor and Codeium

The Supabase MCP Server is a middleware that bridges MCP clients and Supabase services, providing comprehensive functions such as database operations, storage management, and edge function calls.

An MCP server based on TypeScript that implements a simple note-taking system for NextJS, providing note resource management, creation tools, and summary generation functions.

The Alibaba Cloud Supabase MCP Server project connects Supabase projects with AI assistants through the Model Context Protocol standard, providing tools such as project management and database querying, and supporting the deployment and operation of Supabase services on the Alibaba Cloud platform.

The Supabase MCP Server is a server based on TEE technology that can be deployed on Phala Cloud, supporting the SSE transmission protocol for remote hosting services.

An MCP server based on Supabase and NextJS, implementing a simple note - taking system

An MCP server that provides programmatic access to Supabase management APIs, supporting the management of Supabase projects and institutions through standardized interfaces

The Supabase MCP Server is a tool that enables LLM models such as Claude to interact with Supabase through the MCP protocol, supporting CRUD operations on Postgres tables.

Supabase MCP Server is a feature - rich server that supports multiple MCP clients (such as Cursor, Windsurf, etc.) to interact securely with the Supabase database. It provides functions such as database management, SQL query execution, access to the Supabase management API, and user authentication, and has a built - in security control mechanism.

This is a Model Context Protocol (MCP) server project designed specifically for self-hosted Supabase instances. It provides functions such as database management, schema querying, user authentication, and storage viewing, and supports integration with the development environment through the MCP client tool.

The Supabase MCP Server provides programmatic access to the Supabase management API and supports standardized management of projects and organizations.

The Supabase MCP Server is a powerful database management tool that provides comprehensive PostgreSQL database management functions through Cursor's Composer and Codeium's Cascade, supporting table operations, record management, schema modification, etc.

The Supabase MCP Server is a Model Context Protocol service for interacting with Supabase databases, providing functions for querying tables and generating TypeScript types.

A Supabase MCP server optimized for Windsurf, with enhanced error handling, response formatting, and SQL conversion functions

A modern web application project built using the technology stack of NextJS, React, TailwindCSS, Supabase, and Shadcn.

An MCP server based on Supabase that provides RESTful APIs for data query, insertion, and update operations, supporting local deployment and Smithery cloud deployment.