A
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qualityB
maintenanceIntegrates RAG into AI agents via MCP Server, supporting multiple vector database technologies for collection management and search operations.
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"How to work with a vector database" matching MCP servers:
- Alicense-qualityBmaintenanceEnables integrating RAG into AI agents via MCP server, supporting multiple vector database technologies.Last updatedMIT
- AlicenseBqualityBmaintenanceA production-grade MCP server for integrating RAG into AI agents, supporting multiple vector databases with enterprise security and dynamic tool selection.Last updated215MIT
- Flicense-qualityDmaintenanceEnables AI agents to semantically search GitHub repository documentation by automatically fetching, vectorizing, and indexing content into an Upstash Vector database. It provides a standard MCP interface for agents to retrieve relevant documentation snippets through natural language queries.Last updated
- AlicenseAqualityCmaintenanceMCP server for OpenAI Vector Store API, managing vector stores, files, file batches, and semantic search.Last updated218MIT
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.Last updated143Apache 2.0- Flicense-qualityDmaintenanceEnables semantic code search across multi-language codebases using natural language queries, integrated with Qdrant vector database for fast, cached retrieval.Last updated1
- Alicense-qualityFmaintenanceTurns your Readwise library into a blazing-fast semantic search engine with a streaming MCP server for LLM clients, supporting vector search, nightly syncs, and deployment on serverless platforms like Vercel.Last updated24MIT
- Alicense-qualityDmaintenanceA secure vector-based memory server that provides persistent semantic memory for AI assistants using sqlite-vec and sentence-transformers. It enables semantic search and organization of coding experiences, solutions, and knowledge with features like auto-cleanup and deduplication.Last updatedMIT
- Alicense-qualityDmaintenanceEnables indexing and semantic search of software project files via MCP, with automatic file watching for updates.Last updatedMIT
- Alicense-qualityDmaintenanceProvides local vector-based semantic memory storage for AI assistants to persist context and decisions across sessions using local embeddings and LanceDB. It enables private semantic search and session handoff capabilities to maintain long-term project context.Last updated1195MIT
- Alicense-quality-maintenanceProvides AI coding agents with persistent, long-term memory through local semantic search and SQLite storage. It enables agents to save and retrieve architectural decisions or project context across different conversation sessions without requiring cloud services.Last updated
- Flicense-qualityDmaintenanceEnables semantic code search over a local codebase using Qdrant vector embeddings and OpenAI embeddings, allowing natural language queries from MCP-compatible clients like Claude Desktop.Last updated
- Flicense-qualityDmaintenanceCombines Neo4j graph database with vector search using OpenAI embeddings for intelligent semantic search across knowledge graphs.Last updated3
- AlicenseBqualityAmaintenanceEnables building and querying vector-based knowledge graphs with node and edge management and semantic search.Last updated515MIT
- Alicense-qualityDmaintenance一个基于FastMCP协议的文件向量化服务，支持自动目录监控、多格式文件处理和高效向量搜索，帮助构建个人或团队知识库。Last updatedApache 2.0
- Alicense-qualityDmaintenanceProvides retrieval-augmented generation (RAG) capabilities by ingesting various document formats into a persistent ChromaDB vector store. It enables semantic search and retrieval using either OpenAI or Ollama embeddings for processing local files, directories, and URLs.Last updated1MIT
- Flicense-qualityDmaintenanceProvides comprehensive management of OpenAI Vector Stores, allowing AI assistants to upload files, manage vector databases, and handle batch operations via the OpenAI API. It supports multiple deployment methods, including Cloudflare Workers and local NPM installation, for seamless integration with MCP-compatible clients.Last updated7
- Flicense-qualityDmaintenanceEnables AI assistants like Claude, ChatGPT, and Gemini to search and query local PDF documents using natural language through vector embeddings and the MCP protocol.Last updated
- Alicense-qualityDmaintenanceEnables LLMs to interact with Rememberizer Vector Store for semantic search, document creation, deletion, and modification.Last updatedApache 2.0
