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qualityC
maintenanceEnables read-only semantic search over a local document corpus with on-device embeddings and a local Chroma store, featuring symlink-hardened file access and structured error handling.
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"Developing a Desktop Local Area Network (LAN) Application" matching MCP servers:
- AlicenseAqualityAmaintenancePrivacy-first local document search using semantic search. Runs entirely on your machine with no cloud services, supporting PDF, DOCX, TXT, and Markdown files.93,271371MIT
- FlicenseAqualityCmaintenanceA local-first MCP server providing persistent, project-scoped and global memory for AI agents using ChromaDB and Ollama embeddings, fully offline.7
- AlicenseBqualityCmaintenanceEnables storing and retrieving text passages based on semantic meaning using local embeddings (Ollama) and vector storage (ChromaDB), allowing conversational memorization and retrieval of information.518MIT
- AlicenseNot gradedqualityFmaintenanceA local-first MCP server for indexing and searching codebases using PostgreSQL and Ollama embeddings, ensuring complete privacy and zero API costs.16MIT
- AlicenseNot gradedqualityCmaintenanceA fully local, self-hosted memory server for MCP clients (Claude Code, Cursor, etc.) that provides persistent memory storage with semantic search, using local embeddings and a local Qdrant vector store.MIT
- AlicenseNot gradedqualityAmaintenanceA RAG knowledge base MCP server using FastMCP and LanceDB, enabling hybrid search, document ingestion, and full MCP tool/resource/prompt support.MIT
- AlicenseNot gradedqualityAmaintenanceA Docker-based local RAG backend that provides advanced document search capabilities using vector, graph, and full-text retrieval via the Model Context Protocol. It supports over 28 file formats and tracks evolving relationships between concepts using a Neo4j-backed graphiti implementation.1MIT
- FlicenseNot gradedqualityCmaintenanceMCP server enabling Claude Desktop to answer questions from local Word and PDF documents by searching a vector index built from their contents.
- FlicenseNot gradedqualityDmaintenanceA fully offline local RAG server that utilizes ChromaDB and Ollama to index and query PDF, text, and Markdown documents. It allows users to manage local knowledge bases and perform semantic searches with AI-generated responses.
- AlicenseNot gradedqualityCmaintenanceEnables semantic search across indexed documents using vector embeddings. Index GitHub repositories and URLs to perform natural language queries with AI-enhanced contextual results.31MIT
- AlicenseNot gradedqualityCmaintenanceA privacy-preserving local RAG system integrated with MCP, enabling natural language queries over ingested documents and a SQLite database through vector search and local database tools.MIT
- FlicenseNot gradedqualityDmaintenanceEnables 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.7
- AlicenseNot gradedqualityCmaintenanceA remote MCP server enabling semantic memory across multiple AI platforms like Perplexity Comet and Claude Desktop, with vector embeddings for intelligent retrieval.1MIT
- AlicenseNot gradedqualityCmaintenanceProvides local vector database functionality using FAISS for document ingestion, semantic search, and Retrieval-Augmented Generation (RAG) applications with persistent storage and customizable embedding models.33MIT
- AlicenseNot gradedqualityDmaintenanceProvides AI assistants with persistent memory through local ChromaDB vector storage, featuring automated file ingestion and batch processing for over 70 file types. It enables advanced vector search, EXIF metadata extraction for photos, and duplicate file detection across local directories.MIT
- AlicenseNot gradedqualityDmaintenanceA fully self-hosted MCP server that integrates the Mem0 framework to provide persistent memory capabilities for AI assistants using local models and vector storage. It enables users to store, search, and manage contextual information across conversations through a Docker-based deployment.3MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to semantically search through indexed documentation websites and local code repositories using OpenAI embeddings and ChromaDB vector storage.
- FlicenseNot gradedqualityCmaintenanceEnables users to ingest PDF/DOCX/TXT/MD documents and ask natural language questions about them, using local embeddings and Groq-powered retrieval-augmented generation.
- FlicenseAqualityBmaintenanceSemantic search over project-specific decision rules using Chroma, enabling LLMs to retrieve relevant context.1
