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    MCP bridge for PDF Content Search — full-text PDF search with Apple Vision OCR across thousands of documents in under a second from Claude, Cursor, or any MCP client. Advanced filters (date, category, sender, amount), wildcards, boolean operators. Bridge open-source (MIT), PDF Content Search app is commercial with free iOS+Android companion scanner apps.
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    MIT
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    Enables AI models to access and search offline Wikipedia and other knowledge bases stored in ZIM format files. Provides intelligent content retrieval, structured browsing, advanced search capabilities, and metadata extraction for comprehensive offline knowledge access.
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    384 PyPI
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    MIT
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    Persistent 3D/2D spatial world model MCP server for AI agents. Entity tracking, object permanence, AABB collision simulation & view frustum projection via local SQLite.
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    68 npm
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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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    MIT
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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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    4 npm
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    MIT
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    Digital consciousness repository and community MCP server. Upload epiphanies, decisions, warnings, and patterns as consciousness payloads, then retrieve them via semantic telepathic search. Features 3D interactive consciousness globe and soul imprint authentication.
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    Apache 2.0
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    Dense Knowledge is a small local server for Model Module Protocol (MMP) files. It gives language models a persistent research memory without requiring a database, embeddings, or a hosted service.
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    Provides a shared knowledge base MCP server for coding agents to read and leave one-sentence lessons, tagged by technology stack, to avoid repeated mistakes across sessions.
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    50 npm
    MIT
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    A tool for Model Context Protocol (MCP) that allows you to analyze web content and add it to your knowledge base, storing content as Markdown files for easy viewing with tools like Obsidian.
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    MIT
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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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    A Model-Context-Protocol server that integrates with Yuque (语雀) knowledge base platform, allowing AI models to create, read, update, and delete documents, search content, and retrieve analytics data through defined tools.
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    ISC