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

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    A production-ready Model Context Protocol server that bridges local document management with cloud synchronization (Notion) for AI agent integration, enabling seamless access and sync of local and cloud documents.
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    MIT
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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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    An MCP server for external computer-use that launches, observes, and interacts with any X11 application via AT-SPI2 accessibility tree and xdotool input injection.
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  • F
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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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    Enables interaction with Supabase databases, including listing tables, querying, inserting, updating, deleting records, and executing RPC functions.
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  • F
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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.
    Last updated
  • F
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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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  • F
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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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  • F
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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.
    Last updated