A
licenseA
qualityA
maintenancePrivacy-first local document search using semantic search. Runs entirely on your machine with no cloud services, supporting PDF, DOCX, TXT, and Markdown files.
9
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360
MIT
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"Google Cloud Storage" matching MCP servers:
- AlicenseAqualityAmaintenanceEnables local semantic search over documents and code for Claude Code and Claude Desktop, running entirely offline with local embeddings and vector storage.113MIT
- AlicenseAqualityCmaintenanceEnhanced MCP knowledge graph memory server with cloud persistence and semantic search, acting as a drop-in replacement for the standard memory server.10835MIT
- FlicenseAqualityAmaintenanceMCP server for semantic search in an Obsidian Second Brain vault using self-hosted Qdrant and Google Gemini embeddings.3
- FlicenseAquality-maintenanceProvides long-term memory storage for AI assistants with semantic search, enabling persistent storage of preferences, decisions, and context with relationship tracking between memories.19
- AlicenseAqualityBmaintenanceA local, fully-offline MCP memory server that enables persistent storage and retrieval of information using SQLite with both keyword and semantic vector search capabilities.101312MIT
- FlicenseAqualityBmaintenanceEnables making REST API calls to Teradata cloud services including Elastic Compute, Vector Store, OMS, and QueryGrid. Supports custom authentication, Socks5 proxy, and multipart file uploads.8
- AlicenseAqualityCmaintenanceA Model Context Protocol server providing vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage.641MIT
Baidu Vector Database MCPofficial
AlicenseBqualityDmaintenanceA server that provides access to Baidu Cloud Vector Database functionality through the Model Context Protocol, enabling LLM applications to perform vector searches and database operations via natural language.143Apache 2.0- AlicenseBqualityDmaintenanceVecFS is a lightweight, local-first vector storage specification and implementation for AI agent long-term memory. It provides an MCP server enabling agents to search, memorize, and manage context.49Apache 2.0
- AlicenseBqualityDmaintenanceA high-performance, persistent memory system for the Model Context Protocol (MCP) providing vector search capabilities and efficient knowledge storage using libSQL as the backing store.611124MIT
- AlicenseBqualityCmaintenanceAn intelligent memory MCP server that provides AI applications with semantic search, entity extraction, and knowledge graph capabilities using local Redis caching and optional cloud sync. It enables LLMs to store and retrieve long-term context across sessions with high-performance multi-tier storage.1272MIT
- FlicenseBqualityDmaintenanceA service discovery and proxy for MCP servers that enables registration, discovery, and execution of tools on remote MCP servers. Uses vector-based similarity search through Alibaba Cloud services to intelligently route requests to appropriate MCP services.3
- Alicense-qualityAmaintenanceProvides semantic memory and persistent storage for Claude, leveraging ChromaDB and sentence transformers for enhanced search and retrieval capabilities.31,911Apache 2.0
- FlicenseCqualityDmaintenanceEnables storing and retrieving information using vector embeddings with semantic search capabilities. Integrates with the AI Embeddings API to automatically generate embeddings for content and perform similarity-based searches through natural language queries.2
- AlicenseCqualityDmaintenanceProvides persistent memory and knowledge graph capabilities for AI assistants using local SQLite storage. Enables creating, searching, and managing entities, relationships, and observations with vector search support across conversations.73614MIT
sovseal MCP Serverofficial
Alicense-qualityBmaintenanceProvides a private, on-device memory with semantic search for MCP clients, enabling encrypted storage and recall of context facts without external API calls.168Apache 2.0- Alicense-qualityFmaintenanceProvides persistent, semantic memory storage for LLMs across sessions using vector embeddings and FAISS search. Features bio-inspired memory consolidation, intelligent forgetting, and semantic retrieval without API costs.MIT
- Alicense-qualityCmaintenanceEnables AI assistants to save, retrieve, and manage research content using ChromaDB vector storage with semantic search, topic organization, and automatic deduplication powered by OpenAI embeddings.MIT
- Alicense-qualityCmaintenanceEnables MCP clients to remember user information, preferences, and behaviors across conversations using vector search technology. Built on Cloudflare infrastructure with persistent storage and semantic similarity matching.12MIT
