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Connects AI assistants to Supabase projects to manage databases, execute SQL queries, and handle project configurations. It enables tasks like table management, edge function deployment, and log retrieval through the Model Context Protocol.

Enables notes management through MCP integration with a Supabase PostgreSQL database, supporting full CRUD operations. It features secure user data isolation using JWT authentication and Row Level Security policies.

Enables AI assistants to interact with Supabase databases through standardized CRUD operations including querying, inserting, updating, and deleting records with support for filtering, pagination, and column selection.

Provides secure access to Supabase databases via PostgREST API and management tools for projects, schemas, branches, logs, and code generation.

A bridge between AI assistants like GitHub Copilot and Supabase databases, allowing AI to understand schema, assist with query writing, and provide context-aware suggestions related to your data model.

Connects Supabase projects to AI assistants, enabling them to manage database tables, execute SQL queries, and deploy Edge Functions through natural language. It provides a comprehensive suite of tools for project administration, including logs access, documentation search, and environment configuration.

Connects AI assistants to Supabase projects, enabling them to manage tables, query data, deploy Edge Functions, handle migrations, and access project resources through natural language commands.

Enables AI agents to access and manage Supabase projects through the Model Context Protocol, supporting database operations, edge functions, storage, and documentation search. It provides a complete toolset for SQL execution, migration management, and real-time project debugging.

Supabase MCP Server F108a0e5

Test of Python MCP server implementation for Supabase

An MCP server utilizing Supabase to provide memory and knowledge graph storage, enabling multiple Claude instances to share and manage data with database-level locking for safe concurrent access.

Enables secure file and bucket management operations with Supabase Storage through enterprise-grade security features, batch uploads/downloads, and comprehensive file management capabilities. Supports both local file paths and base64 data with advanced transformations and auto-download functionality.

Turn YouTube, TikTok, X videos and websites into structured data. Skip the hassle of video transcription and data scraping. Our APIs help you build better software and AI products faster.

A runtime-configurable MCP server for Supabase databases that enables dynamic tool creation through JSON configuration. Build custom database operations (select, insert, update, delete) without writing code, with built-in authentication and template support.

SupaThings MCP is a macOS server that enables AI agents to read and manage Things 3 data by combining SQLite-based queries with official URL-scheme commands. It provides over 30 tools for project structural analysis and task placement, allowing agents to understand and interact with tasks while maintaining safe interoperability.

Provides powerful data analysis capabilities for AI systems with functions for data import/export, SQL querying, statistical analysis, and data processing.

Enables querying Superlines AI visibility analytics data to track brand performance, citations, and competitor insights across AI-powered search engines like ChatGPT, Perplexity, Gemini, and Claude.

Provides an MCP server with a fetch_url tool for making HTTP requests alongside a private registry for hosting and managing server metadata. The registry implements the official MCP OpenAPI specification using a Hono-based REST API and SQLite.

An MCP server that provides AI assistants with full access to Apache Superset instances, enabling interaction with dashboards, charts, datasets, databases, and SQL execution capabilities.

A FastAPI-based server that enables executing SQL queries, managing database connections, and retrieving analytics reports through MCP-integrated endpoints. It allows users to interact with database schemas, performance metrics, and access logs using structured queries.

Enables creation, validation, rendering, and optimization of SVG images with conversion capabilities to PNG, React components, React Native components, and Data URIs.