#supabase

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A collection of MCP servers that connect LLMs to Supabase

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This repository contains a ready-to-use Model Context Protocol (MCP) server that supercharges your development workflow. As a new developer, I created this tool to consolidate documentation and streamline my development process—now I'm sharing it with you.

A Model Context Protocol (MCP) server that provides AI assistants with the ability to interact with Supabase databases through standardized tools.

Supabase MCP server created in Python.

Guía detallada de instalación para Supabase MCP Server

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Discover and share Model Context Protocol Servers for AI applications, development, and integration.

Test of Python MCP server implementation for Supabase

Mcp server for supabase

Servidor MCP de Supabase desplegable con Coolify

Real-time PostgreSQL & Supabase database schema access for AI-IDEs via Model Context Protocol. Provides live database context to AI assistants through secure SSE connections, enabling smarter code generation with always up-to-date schema information. Features three powerful tools: get_schema, analyze_database, and check_schema_alignment.

Universal MCP-Server for your Databases optimized for LLMs and AI-Agents.

The open-source interface for AI chat. Self-hostable, developer-first, and model-agnostic.

MCP Space is a no-code AI tool builder that simplifies creating and managing AI models using the Model Context Protocol. Join us on GitHub to explore and contribute to this innovative platform! 🐙🌟

Query MCP enables end-to-end management of Supabase via chat interface: read & write query executions, management API support, automatic migration versioning, access to logs and much more.

🌩️ Unified Database Management System - MCP server for orchestrating Supabase and multiple databases

**SlashMCP** is a production-grade AI workspace that connects LLMs to real-world data and tools through an intuitive chat interface. Built on the Model Context Protocol (MCP), it enables seamless interaction with multiple AI providers (OpenAI, Claude, Gemini) while providing powerful capabilities for document analysis, financial data queries, web scraping, and multi-agent workflow orchestration. ### Key Features: - **Multi-LLM Support**: Switch between GPT-4, Claude, and Gemini at runtime—no restart needed - **Smart Command Autocomplete**: Type `/` to discover and execute MCP server commands instantly - **Document Intelligence**: Drag-and-drop documents with automatic OCR extraction and vision analysis - **Financial Data Integration**: Real-time stock quotes, charts, and prediction market data via Alpha Vantage and Polymarket - **Browser Automation**: Web scraping and navigation using Playwright MCP - **Multi-Agent Orchestration**: Intelligent routing with specialized agents for command discovery, tool execution, and response synthesis - **Dynamic MCP Registry**: Add and use any MCP server on the fly without code changes - **Voice Interaction**: Browser-based transcription and text-to-speech support ### Use Cases: - Research and analysis workflows - Document processing and extraction - Financial market monitoring - Web data collection and comparison - Multi-step task automation **Live Demo:** [ slashmcp.vercel.app ]( https://slashmcp.vercel.app ) **GitHub:** [ github.com/mcpmessenger/slashmcp ]( https://github.com/mcpmessenger/slashmcp ) **Website:** [ slashmcp.com](https://slashmcp.com )