mcp-server-qdrantofficial
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maintenanceThis repository is an example of how to create a MCP server for Qdrant, a vector search engine.
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"Qdrant vector database and search engine" matching MCP servers:
- Alicense-qualityDmaintenanceMCP server that searches documents in Qdrant using embeddings from LMStudio. Takes a text query, converts it to a vector via LMStudio's OpenAI-compatible API, and performs semantic search in Qdrant.13ISC
- Alicense-qualityDmaintenanceEnables Claude to store and retrieve information with semantic search using Qdrant vector database, providing persistent memory for conversations, code, and documentation.9MIT
- AlicenseBqualityBmaintenanceA shared, persistent MCP memory server for coding agents that enables storing and retrieving project decisions and context across different tools like Claude Code, Codex, and Cursor using semantic vector search.8MIT
- Alicense-qualityBmaintenanceProvides semantic search capabilities using Qdrant vector database with multiple embedding providers, including hybrid search, code indexing, and git history search. Adds optional time-based recency scoring to search results.164MIT
- Alicense-qualityCmaintenanceMCP server for Qdrant vector database with local BERT embeddings. Enables semantic search and vector storage operations through natural language.MIT
- Alicense-qualityBmaintenanceIntegrates RAG into AI agents via MCP Server, supporting multiple vector database technologies for collection management and search operations.11MIT
- Alicense-qualityDmaintenanceEnables semantic code search across codebases using Qdrant vector database and OpenAI embeddings, allowing users to find code by meaning rather than just keywords through natural language queries.2MIT
- Alicense-qualityBmaintenanceEnables integrating RAG into AI agents via MCP server, supporting multiple vector database technologies.11MIT
- AlicenseAqualityDmaintenanceAn MCP server that provides long-term memory and semantic search using Qdrant and OpenAI embeddings, with tools for storing, searching, and managing knowledge.61MIT
- AlicenseAqualityAmaintenanceProject-scoped semantic workspace memory for AI coding assistants. Watches your project files and auto-indexes code and docs into Qdrant using tree-sitter semantic chunking and hybrid search (dense + sparse + RRF)63Apache 2.0
- AlicenseAqualityDmaintenanceEnables MCP clients to perform intelligent web searches via Traylinx's Agentic Search API, returning text summaries and structured data like HTML, images, and news.1MIT
- AlicenseAqualityCmaintenanceAn MCP server that provides semantic memory on top of Qdrant vector search, with tools to store and retrieve information using embeddings.2Apache 2.0
- AlicenseBqualityAmaintenanceA production-grade MCP server for integrating RAG into AI agents, supporting multiple vector databases with enterprise security and dynamic tool selection.215MIT
- AlicenseBqualityCmaintenanceAn MCP server for storing and retrieving memories using Qdrant vector search, acting as a semantic memory layer.2Apache 2.0
- Alicense-qualityDmaintenanceA Machine Control Protocol (MCP) server that enables storing and retrieving information from a Qdrant vector database with semantic search capabilities.Apache 2.0
- Flicense-qualityDmaintenanceEnables semantic code search across multi-language codebases using natural language queries, integrated with Qdrant vector database for fast, cached retrieval.1
- Alicense-qualityBmaintenanceEnables AI development tools to perform semantic search and document relationship analysis on vectorized content stored in Qdrant databases.50Apache 2.0
- Alicense-qualityDmaintenanceEnables multi-tenant RAG with Qdrant, LM Studio embeddings and summaries, and advanced document processing for semantic search across isolated client collections.13MIT
- Alicense-qualityFmaintenanceIndexes codebases into Qdrant for semantic search, enabling AI assistants to find relevant code by meaning without re-exploring the repo.MIT
