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    This project implements a Model Context Protocol (MCP) server for connecting AI models with Obsidian knowledge bases. Through this server, AI models can directly access and manipulate Obsidian notes, including reading, creating, updating, and deleting notes, as well as managing folder structures.
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    MIT
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    A Python package that enables LLM models to interact with Memos server through the Model Context Protocol interface, allowing search, creation, retrieval, and management of memos.
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    MIT
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    A TypeScript-based server that integrates with Anki via the AnkiConnect plugin, allowing you to manage flashcard decks, note models, and create Anki notes using natural language.
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    MIT
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    Connects Obsidian vaults stored in iCloud Drive to AI models via the Model Context Protocol, allowing AI assistants to access and interact with your Obsidian notes.
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    MIT
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    An open-source memory layer that provides persistent project context and architectural history for AI development tools across multiple platforms and sessions. It enables AI assistants to maintain a shared understanding of codebases while integrating directly with services like Notion for documentation management.
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    Enables language models to access and manage Raindrop.io bookmarks, collections, tags, and highlights through the Model Context Protocol.
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    MIT
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    Persistent semantic memory server for Obsidian vaults, enabling AI agents to search, read, write, and explore notes with semantic understanding and incremental indexing.
    Apache 2.0
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    A Model Context Protocol server that enables AI language models like Claude to interact with Microsoft OneNote, allowing access to notebooks, creating pages, searching notes, and analyzing content directly through the AI interface.
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    A remote MCP server that enables language models to search, read, and write notes in an Obsidian vault organized with the PARA method, and save URLs as notes.
    MIT
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    Enables AI models to search and read Notion pages by keyword or ID, allowing users to retrieve workspace content like meeting notes through natural language. It supports integration with Antigravity and Gemini to provide seamless access to Notion document data.
    1
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    Enables AI models to read, search, and write notes in an Obsidian vault following the Zettelkasten method, with tools for semantic search, memo reading/writing, and dialogue saving.
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    MCP server that provides tools and resources for AI models to interact with an Obsidian vault, enabling file operations, search, and management via the Model Context Protocol.
    2