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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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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- FlicenseAqualityCmaintenanceA local-first MCP server providing persistent, project-scoped and global memory for AI agents using ChromaDB and Ollama embeddings, fully offline.Last updated7
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- 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
- AlicenseAqualityBmaintenanceA persistent semantic memory system for Claude Code, using vector search and a judgment ledger to surface prior decisions and calibrate predictions.Last updated12MIT
- AlicenseAqualityCmaintenanceEnables semantic search over local markdown note collections using vector embeddings, with real-time file watching and zero-config setup.Last updated4MIT
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- AlicenseAqualityBmaintenanceAn MCP server that incrementally indexes repositories and documents into a Postgres + pgvector store using CocoIndex, and exposes semantic search over them.Last updated31MIT
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- FlicenseBqualityDmaintenanceA Node.js-based MCP server that enables AI agents to generate embeddings, index documents, and perform semantic vector searches using OpenAI and Chroma. It facilitates the creation of retrieval-augmented generation (RAG) pipelines for internal knowledge assistants and document-based workflows.Last updated3
- 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.Last updated612124MIT
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LanceDB MCP Serverofficial
FlicenseBqualityDmaintenanceA basic serverless MCP server using LanceDB to store and retrieve documents via three tools: ingest, retrieve, and get table details.Last updated325- FlicenseBqualityCmaintenanceEnables storing and retrieving semantic memories using LanceDB vector database, with tools to add memories and search by similarity.Last updated29
- 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.Last updated2
tigergraph-mcpofficial
Alicense-qualityBmaintenanceModel Context Protocol (MCP) server for TigerGraph that lets AI agents interact with TigerGraph through the MCP standard using pyTigerGraph's async APIs.Last updated3Apache 2.0