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maintenanceEnables integrating RAG into AI agents via MCP server, supporting multiple vector database technologies.
11
MIT
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"Searching for technologies and tools related to embeddings and vector databases" matching MCP servers:
- AlicenseBqualityAmaintenanceA production-grade MCP server for integrating RAG into AI agents, supporting multiple vector databases with enterprise security and dynamic tool selection.215MIT
- AlicenseNot gradedqualityBmaintenanceIntegrates RAG into AI agents via MCP Server, supporting multiple vector database technologies for collection management and search operations.11MIT
- FlicenseNot gradedqualityDmaintenanceEnables 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.
- AlicenseAqualityCmaintenanceMCP server for OpenAI Vector Store API, managing vector stores, files, file batches, and semantic search.2115MIT
- AlicenseNot gradedqualityFmaintenanceTurns 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.24MIT
- AlicenseNot gradedqualityDmaintenanceA 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.MIT
- AlicenseNot gradedqualityDmaintenanceEnables indexing and semantic search of software project files via MCP, with automatic file watching for updates.MIT
- AlicenseNot gradedqualityCmaintenanceProvides 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.2525MIT
- AlicenseNot gradedqualityNot gradedmaintenanceProvides 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.
- FlicenseNot gradedqualityDmaintenanceEnables 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.
- FlicenseNot gradedqualityDmaintenanceCombines Neo4j graph database with vector search using OpenAI embeddings for intelligent semantic search across knowledge graphs.3
- AlicenseBqualityAmaintenanceEnables building and querying vector-based knowledge graphs with node and edge management and semantic search.511MIT
- AlicenseNot gradedqualityAmaintenanceMCP server for compressing AI embeddings by 5-7x using TurboQuant (PolarQuant + QJL), with tools to compress, decompress, estimate savings, and embed+compress vectors.MIT
- AlicenseNot gradedqualityDmaintenance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。Apache 2.0
- FlicenseNot gradedqualityDmaintenanceA Model Context Protocol server for generating text embeddings using OpenAI, Anthropic, or Ollama, with tools for single and batch embedding operations.
- FlicenseNot gradedqualityDmaintenanceProvides 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.7
- AlicenseNot gradedqualityNot gradedmaintenanceEnables semantic search across Apple Mail, Messages, Calendar, and Contacts on macOS using natural language queries. All processing happens locally with privacy-first vector indexing for fast similarity search.
- FlicenseNot gradedqualityDmaintenanceThis server enables semantic search capabilities using Qdrant vector database and OpenAI embeddings, allowing users to query collections, list available collections, and view collection information.7
- FlicenseNot gradedqualityCmaintenanceMCP server that ingests PDF documents into pgvector for semantic search and RAG pipelines. It handles extraction, chunking, local embeddings, and storage, enabling agents to make PDFs searchable via natural language.