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"Creating a Search System with Supabase for Documents and User Interaction" matching MCP servers:

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    An MCP server that provides an interactive PyQt5 UI for enhanced model communication, featuring multi-image management, file attachments, and customizable cognitive performance modes. It enables users to input complex content and manage workspace assets through a structured, tag-based output format.
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    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.
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    Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor. This is especially useful for developing desktop applications that require complex user interactions to test.
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    MIT
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    Enables querying of Chinese-Western medicine interactions with comprehensive drug information, risk assessment, and clinical recommendations. Supports searching medicines, checking interactions individually or in batches, and provides safety guidance with severity classifications.
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    Implements the Model Context Protocol to provide LLMs with tools for interacting with Supabase databases, supporting operations like reading, creating, updating, and deleting records with filtering and pagination capabilities.
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    Enables interaction with Discord using personal user tokens instead of bot applications, allowing for seamless message management and server exploration. It provides tools for reading history, sending messages, and searching across channels and DMs directly through MCP-compatible clients.
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    MIT
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    Enables integration with financial transaction data through REST APIs, PostgreSQL databases, and document storage systems. Demonstrates agentic AI capabilities by connecting to Alpha Vantage API and managing financial data through natural language interactions.
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    Enables minimal interaction with Supabase databases through 4 essential tools for data querying, mutations, file storage, and user authentication. Designed for 70% less context usage than standard implementations with auto-truncated results and simplified parameters.
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    Enables Cursor and Windsurf to safely interact with Supabase databases by providing tools for database management, SQL query execution, and Supabase Management API access with built-in safety controls.
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    Apache 2.0
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    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.
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    Apache 2.0
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    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.
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    MIT
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    Enables secure interaction with Supabase databases via the PostgREST API, supporting full CRUD operations and stored procedure calls. It utilizes the Dedalus MCP framework to provide encrypted credential handling and just-in-time token exchange.
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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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    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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    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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    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.
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    A powerful server that provides administrative control over Supabase PostgreSQL databases through Cursor's Composer and Codeium's Cascade, enabling database management with features for tables, records, schema modifications, and more.
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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.
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    Apache 2.0
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    A local policy wrapper for Supabase MCP that secures access tokens and enforces strict execution models, including project allowlists and write-access restrictions. It provides a safety layer to prevent AI agents from accidentally executing migrations or writing SQL against production environments.
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    MIT
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    A wrapper for mcp-remote that provides secure authentication for protected MCP servers using Adobe IMS or Okta OAuth flows. It features automated token management, validation, and background refreshing for seamless access to remote resources.
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    Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.
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    MIT
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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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    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
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    Provides an interactive checklist tool that allows AI agents to present step-by-step instructions to users through an automatically opened terminal UI. It enables agents to guide users through manual tasks and wait for completion, skipping, or feedback before proceeding.
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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 comprehensive Model Context Protocol server that enables AI assistants to interact with and manage Windows systems, providing capabilities for file system operations, process management, system information retrieval, registry operations, service management, network diagnostics, and performance monitoring.
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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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    Provides comprehensive A-share (Chinese stock market) data including stock information, historical prices, financial reports, macroeconomic indicators, technical analysis, and valuation metrics through the free Baostock data source.
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    MIT
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    A vector search system that enables semantic retrieval of document chunks using MongoDB Atlas Vector Search and Voyage AI embeddings, allowing users to search documents by meaning rather than just keywords.
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    MIT
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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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