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Open-Source MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

11,295 servers. Last updated -

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    An MCP server that provides tools for interacting with Supabase databases, storage, and edge functions.
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    MIT License
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    A local agent that monitors your system clipboard, automatically uploads copied images to Supabase Storage, and replaces the clipboard content with the public URL for immediate sharing.
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    A Model Context Protocol server that enables interaction with self-hosted Supabase instances, allowing developers to query database schemas, manage migrations, inspect statistics, and interact with Supabase features directly from MCP-compatible development environments.
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    A Model Context Protocol (MCP) server that provides programmatic access to the Supabase Management API. This server allows AI models and other clients to manage Supabase projects and organizations through a standardized interface.
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    A protocol server that enables interaction with self-hosted Supabase instances directly from development environments, allowing database introspection, management of migrations, auth users, and storage through MCP clients like IDE extensions.
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    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.
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    MIT License

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    Enables querying Supabase databases and generating TypeScript types through the Model Context Protocol interface, supporting features like schema selection, column filtering, and pagination.
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    This server enables interaction with Supabase PostgreSQL databases through the MCP protocol, allowing seamless integration with Cursor and Windsurf IDEs for secure and validated database management.
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    Apache 2.0
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    A TypeScript-based MCP server for handling a simple notes system with NextJS that supports creating and summarizing text notes using MCP concepts.
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    Enables AI assistants to manage Supabase projects deployed on Alibaba Cloud through natural language commands. Supports project creation/deletion, database querying, security configuration, and table management operations.
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    A Model Context Protocol server that enables querying feature suggestions from a Supabase database, allowing AI tools like Cursor and Claude to access and display feature request data.
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    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.
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    A Model Context Protocol server optimized for integrating Supabase with the Windsurf Editor, providing database interactions through natural language with enhanced error handling and response formatting.
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    An MCP server that enables natural language querying of Supabase PostgreSQL databases using Claude 3.7, allowing users to inspect schemas, execute SQL, manage migrations, and convert natural language to SQL queries.
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    Provides memory/knowledge graph storage capabilities using Supabase, enabling multiple Claude instances to safely share and maintain a knowledge graph with features like entity storage, concurrent access safety, and full text search.
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    Enables developers to interact with self-hosted Supabase instances, providing database introspection, migration management, auth user operations, storage management, and TypeScript type generation directly from MCP-compatible development environments.
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    Docker-deployable server that enables interaction with Supabase databases via HTTP streaming, allowing n8n workflows, AI agents, and automation tools to execute SQL queries, manage database migrations, deploy edge functions, and search documentation.
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    Enables comprehensive management of self-hosted or cloud Supabase instances with 54+ tools for database operations, authentication, storage, real-time subscriptions, migrations, monitoring, and security auditing.
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    Enables comprehensive management of self-hosted or cloud Supabase instances with 54+ tools for database operations, authentication, storage, real-time subscriptions, migrations, and monitoring through MCP protocol.
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    This is an MCP server for PostgREST. It allows LLMs perform database queries and operations on Postgres databases via PostgREST. This server works with both Supabase projects (which use PostgREST) and standalone PostgREST servers.
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    Enables IDE access to Supabase databases with SQL query execution, schema management, Auth admin operations, and built-in safety controls to prevent accidental destructive actions.
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    Apache 2.0
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    Provides AI agents with complete web search, crawling, and RAG capabilities through a Docker-based solution combining Model Context Protocol, Crawl4AI, SearXNG, and Supabase.
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    MIT License
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    A multi-tenant service that automatically monitors Supabase database changes, generates OpenAI embeddings, and maintains synchronized vector search capabilities for each tenant's projects.
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    A Node.js server that hosts AI agents and manages integrations with various data sources like Supabase, supporting automated database setup and deployment to Vercel.
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    Enables interaction with self-hosted LLM models via Ollama and Supabase database operations. Supports text generation, SQL queries, and data storage/retrieval through natural language commands.
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    A Model Context Protocol server that integrates with Supabase, allowing AI assistants to access and manipulate store data through tools for product searching, filtering, and analysis.
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    RAG-enabled MCP server that uses Google Gemini for embeddings and Supabase for vector storage, enabling semantic search and document similarity matching through natural language queries.
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    Enables AI assistants to interact with PostgreSQL and Supabase databases through natural language. Supports secure database operations including queries, migrations, and schema management with user-provided credentials.
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    A centralized architecture that serves as the only data access layer between frontend/backend applications and Supabase/Redis, enforcing strict data access control while maintaining simplicity and efficiency.
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    Web crawling and RAG implementation that enables AI agents to scrape websites and perform semantic search over the crawled content, storing everything in Supabase for persistent knowledge retrieval.
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    A generic Model Context Protocol framework for building AI-powered applications that provides standardized ways to create MCP servers and clients for integrating LLMs with support for Ollama and Supabase.
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    A Model Context Protocol server that allows AI models to log and retrieve contact events with various authorities (police, fire, medical, etc.) with rate limiting and persistent storage via Supabase.
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