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maintenanceAn enterprise-ready MCP server that exposes a RAG tool for retrieving relevant context and metadata from a Qdrant vector database using natural language queries.
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"Using MCP to Control the Vivaldi Browser" matching MCP servers:
- Alicense-qualityCmaintenanceA lightweight RAG system that provides an MCP server for searching and interacting with vector-based knowledge bases. It enables users to perform retrieval-augmented generation and search across Qdrant collections through a standardized interface.Last updated2MIT
- FlicenseAqualityDmaintenanceA local MCP server that provides semantic code search for Python codebases using tree-sitter for chunking and LanceDB for vector storage. It enables natural language queries to find relevant code snippets based on meaning rather than just text matching.Last updated32
scrapedatshi-mcpofficial
AlicenseAqualityBmaintenanceEnables scraping, crawling, structured data extraction, and vector DB synchronization from natural language in Claude Desktop using the scrapedatshi RAG pipeline API.Last updated12MIT- AlicenseAqualityBmaintenanceEnables Claude to scrape, crawl, extract data, and sync to vector databases using scrapedatshi's RAG pipeline, with support for multiple embedding and vector DB providers.Last updated12MIT
dakera-mcpofficial
FlicenseAqualityCmaintenanceSelf-hosted MCP-native agent memory server. Gives AI agents persistent, decay-weighted memory via 83 MCP tools — no cloud, full control. RocksDB+HNSW backend. Works with Claude Code, Cursor, and any MCP-compatible agent.Last updated147- AlicenseAqualityCmaintenanceEnables ingestion and semantic search over text documents using PostgreSQL + pgvector and OpenAI-compatible embeddings, allowing any LLM agent to retrieve relevant chunks for grounded answers.Last updated4AGPL 3.0
- FlicenseAqualityCmaintenanceA local-first MCP server providing persistent, project-scoped and global memory for AI agents using ChromaDB and Ollama embeddings, fully offline.Last updated7
- AlicenseAqualityDmaintenanceMCP server for semantic code indexing using vector embeddings, enabling AI agents to maintain persistent memory of codebases through natural language queries and intelligent chunking.Last updated1974MIT
- FlicenseAqualityCmaintenanceMCP server for semantic search in an Obsidian Second Brain vault using self-hosted Qdrant and Google Gemini embeddings.Last updated3
- AlicenseAqualityDmaintenanceSelf-hosted mem0 MCP server for Claude Code. Run a complete memory server against self-hosted Qdrant + Neo4j + Ollama while using Claude as the main LLM.Last updated1198MIT
- AlicenseAqualityCmaintenanceA production-grade semantic search server for food recipes — built for AI agents using the Model Context Protocol (MCP). Search across 50,000+ recipes with hybrid dense + sparse retrieval and cross-encoder reranking.Last updated21MIT
- AlicenseAqualityCmaintenanceCline MCP integration that allows users to save, search, and format memories with semantic understanding, providing tools to store and retrieve information using vector embeddings for meaning-based search.Last updated129MIT
- AlicenseAqualityBmaintenanceAn MCP server that incrementally indexes repositories and documents into a Postgres + pgvector store using CocoIndex, and exposes semantic search over them.Last updated31MIT
- AlicenseAquality-maintenanceThe CockroachDB MCP Server is a natural language interface designed for agentic applications and LLMs to manage, monitor and query data in CockroachDB.Last updated291Python
- AlicenseAqualityBmaintenanceA natural language interface that enables LLMs and agentic applications to manage, monitor, and query data in CockroachDB through MCP (Model Content Protocol).Last updated2912PythonMIT
- AlicenseAqualityDmaintenanceProvides local Retrieval-Augmented Generation (RAG) capabilities using Ollama for embeddings and ChromaDB for vector storage. It enables users to ingest and perform semantic searches across PDF, Markdown, and TXT documents within MCP-compatible clients.Last updated4371MIT
- AlicenseAqualityDmaintenanceEnables AI agents to manage and search data in Redis using natural language. Supports hashes, lists, sets, sorted sets, streams, JSON, and vector search.Last updated44MIT
Redis MCP Serverofficial
AlicenseBqualityBmaintenanceThe official Redis MCP Server is a natural language interface designed for agentic applications to efficiently manage and search data in Redis.Last updated51548MIT- AlicenseBqualityDmaintenanceAn MCP server that provides AI assistants with persistent, semantic memory using Turso for storage and OpenAI for vector search. It enables natural language operations to store, retrieve, and refine information with automatic duplicate detection and quality validation.Last updated54MIT