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"Google Assistant" matching MCP servers:
- FlicenseAqualityCmaintenanceMCP server for semantic search in an Obsidian Second Brain vault using self-hosted Qdrant and Google Gemini embeddings.Last updated3
- AlicenseAqualityDmaintenanceProvides persistent context management for AI agents by storing and querying semantic information using Upstash Vector DB and Google AI embeddings. It enables semantic search, batch operations, and metadata filtering to help agents retrieve relevant stored knowledge.Last updated63MIT
- 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.Last updatedMIT
- Alicense-qualityDmaintenanceA Retrieval Augmented Generation system that enables AI assistants to perform semantic searches and manage document indices for markdown files. It supports PostgreSQL with pgvector and integrates both Google Gemini and Ollama for intelligent embedding generation.Last updated1MIT
- Alicense-qualityDmaintenanceA cloud-based vector memory service that provides AI assistants with persistent storage, semantic search, and entity management via the Model Context Protocol. It features multi-tenant isolation and bidirectional synchronization with macOS and Google contacts and calendars.Last updated291MIT
- Alicense-qualityCmaintenanceEnables AI-powered medical information retrieval through FHIR clinical document search and GraphRAG-based exploration of medical entities and relationships. Combines vector search with knowledge graph queries for comprehensive healthcare data analysis.Last updatedMIT
- Alicense-qualityDmaintenanceEnables AI to save, organize, search, and synthesize research materials using a local vector database with support for both OpenAI and Ollama backends.Last updated1MIT
- Alicense-qualityDmaintenanceEnables Claude to search and retrieve documents from Azure AI Search indexes with intelligent summarization and analysis using LangGraph workflows and optional Google Gemini integration.Last updatedMIT
- Alicense-qualityCmaintenanceLocal podcast transcription, embedding, and semantic search with an MCP server for AI assistant integration. All processing runs on your machine.Last updatedMIT
- Alicense-qualityDmaintenanceAn MCP server that enables saving, retrieving, and managing research content using ChromaDB vector storage and semantic search.Last updatedMIT
- Alicense-qualityBmaintenanceAn MCP server providing semantic memory storage and retrieval using vector embeddings powered by LanceDB and Google Gemini. It supports multi-tenant isolation and bucket-based organization for managing structured memories through natural language queries.Last updatedMIT
- Alicense-qualityDmaintenanceA persistent long-term memory system that enables AI clients to store and recall notes, code, and research via semantic search. It utilizes Google Gemini embeddings and Supabase pgvector to provide a secure, searchable 'Second Brain' for MCP-compatible applications.Last updated5MIT
- Alicense-qualityBmaintenanceMCP server that indexes your Obsidian notes into a Milvus vector database and enables querying them via a local or OpenAI LLM, with real-time synchronization.Last updated3MIT
- Alicense-qualityAmaintenanceRAG Vault lets your AI coding assistant search your private documents locally. Everything runs on your machine and your data stays private.Last updated181MIT
- Flicense-qualityDmaintenanceEnables AI-powered semantic search and question-answering for LiveKit documentation using Pinecone vector search and real-time web search with Tavily, providing detailed responses with source attribution.Last updated
- Flicense-qualityDmaintenanceEnables semantic search and question-answering over uploaded documents using vector embeddings and Google AI. Supports document organization with tags, section-aware queries, and hierarchical markdown structure preservation.Last updated
- Flicense-qualityDmaintenanceAn MCP server that gives Claude (and any MCP client) a shared team knowledge base with semantic search. Backed by ChromaDB and Google Gemini embeddings — works across languages (RU + EN).Last updated2
- Flicense-qualityDmaintenanceRAG-enabled MCP server that uses Google Gemini for embeddings and Supabase for vector storage, enabling semantic search and document similarity matching through natural language queries.Last updated
- Flicense-qualityDmaintenanceEnables semantic search and retrieval of bookmarked URLs content using vector embeddings, with support for multiple backends and AI assistant integration.Last updated