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qualityB
maintenanceProvides a 'library keeper' sub-agent that ingests PDF/EPUB books and answers questions grounded in them via local embedding search, with deterministic classification and knowledge gap logging.
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"Library Documentation" matching MCP servers:
- AlicenseAqualityDmaintenanceProvides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.Last updated7371MIT
- AlicenseAqualityCmaintenanceAn MCP server that provides AI assistants with access to Multi Theft Auto: San Andreas function documentation through vector similarity search and smart keyword expansion. It enables efficient information retrieval with features like deprecation warnings and SQLite caching for technical documentation.Last updated11866GPL 3.0
- FlicenseAqualityDmaintenanceEnables passage-level semantic search over a Zotero library by extracting, chunking, and embedding PDF text using Gemini and ChromaDB. It provides MCP tools to perform topical searches and retrieve specific document passages with surrounding context.Last updated47
- FlicenseBqualityDmaintenanceEnables semantic search and contextual conversations with your Calibre ebook library using vector-based RAG technology. Supports project-based organization, multi-format book processing, and OCR capabilities for enhanced content extraction and retrieval.Last updated72
- AlicenseBqualityBmaintenanceA flexible memory system for AI applications that supports multiple LLM providers and can be used either as an MCP server or as a direct library integration, enabling autonomous memory management without explicit commands.Last updated37199MIT
- AlicenseCqualityDmaintenanceEnables vector similarity search and serving of Svelte documentation via the MCP protocol, with support for local caching and multiple llms.txt documentation formats.Last updated11,359122MIT
- Alicense-qualityDmaintenanceAn MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation contextLast updated37265MIT
- Alicense-quality-maintenanceProvides semantic search capabilities over the Plesk Extensions Guide documentation using Retrieval-Augmented Generation (RAG) and vector embeddings. It enables AI assistants to retrieve relevant technical information and answer natural language queries regarding Plesk extension development.Last updated
- Alicense-qualityDmaintenanceMCP server that gives AI coding agents persistent, semantic memory via Qdrant vector search, enabling workspace-aware codebase, documentation, and decision search.Last updatedMIT
- Alicense-qualityDmaintenanceA server component of the Model Context Protocol that provides intelligent analysis of codebases using vector search and machine learning to understand code patterns, architectural decisions, and documentation.Last updated12MIT
- Alicense-qualityFmaintenanceTurns your Readwise library into a blazing-fast semantic search engine with a streaming MCP server for LLM clients, supporting vector search, nightly syncs, and deployment on serverless platforms like Vercel.Last updated24MIT
- Alicense-qualityCmaintenanceSemantic search server for code and documentation using Qdrant vector database. Supports multi-language indexing, live updates, and natural language queries.Last updated1Apache 2.0
lsfusion-mcpofficial
Flicense-qualityBmaintenanceEnables RAG-powered documentation search using OpenAI embeddings and Pinecone vector database. Provides an extensible framework for adding additional tools with support for both local STDIO and production HTTP transports.Last updated- Flicense-qualityFmaintenanceEnables semantic search and interaction with Fuel Network documentation and Sway Language resources within AI-powered development environments. It provides high-quality technical context using a local vector database to assist with smart contract development and FuelVM queries.Last updated7
- Alicense-qualityDmaintenanceEnables semantic search and management of documentation through vector similarity using Qdrant and Ollama/OpenAI embeddings.Last updated35Apache 2.0
- Alicense-qualityDmaintenanceA local RAG MCP server that enables AI tools like Claude to search indexed codebases and documentation using vector search with Ollama models.Last updatedApache 2.0
- Alicense-qualityDmaintenanceAn MCP server designed to assist with generating, converting, and translating Milvus SDK code by retrieving relevant documentation and snippets. It supports PyMilvus code generation, ORM-to-client conversion, and cross-language translation between Python, Java, Go, and other supported languages.Last updated2MIT
- Alicense-qualityDmaintenanceA local RAG-powered documentation search system that uses vector embeddings and Qdrant to enable semantic search across markdown, HTML, and other file formats. It provides an MCP interface for AI tools like Cursor to intelligently query and retrieve information from local knowledge bases.Last updatedMIT
- Alicense-qualityCmaintenanceEnables fast, token-efficient access to large documentation files in llms.txt format through semantic search. Solves token limit issues by searching first and retrieving only relevant sections instead of dumping entire documentation.Last updated3MIT
