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    Git-native Markdown content management CLI with a built-in MCP server. Lets AI clients (Claude, Cursor) search, read, write, and govern story/paper/note repositories, auto-generate READMEs, validate configs, and export EPUB or SFT training data.
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    MIT
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    Enables AI assistants to search, create, and organize content in your Capacities.io knowledge base, with limitations on reading object content due to API restrictions.
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    An enhanced MCP server for the Capacities knowledge management app. Features * List and explore spaces * Search content with full-text and title modes * Read full object content by ID (unique feature) * Save weblinks with tags and metadata * Add content to daily notes * Windows-compatible
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    Enables Claude to read and write to local Microsoft OneNote notebooks by parsing backup files and utilizing the OneNote COM API. It allows for searching notes, creating pages, and appending content without requiring Azure registration or API keys.
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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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    Enables building and managing knowledge workspaces with tools for ingesting content from text, clipboard, or URLs and searching organized knowledge bases. Supports multiple configurable workspaces with separate inbox and knowledge directories for structured information management.
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    Enables integration with Kibela API for searching and retrieving notes, allowing LLMs to interact with Kibela content seamlessly.
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    Enables interaction with the Capacities.io note-taking API via MCP, supporting operations like searching content, saving weblinks, and appending to daily notes.
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    A simple MCP server that implements a note storage system with RAG capabilities, allowing users to store notes and generate summaries of stored content.
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