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"namespace:tech.ydb-qdrant" matching MCP servers:

  • Better Qdrant MCP Server

    wrediam
    A
    license
    B
    quality
    D
    maintenance
    A Model Context Protocol server that enables semantic search capabilities by providing tools to manage Qdrant vector database collections, process and embed documents using various embedding services, and perform semantic searches across vector embeddings.
    Last updated
    4
    38
    4
    MIT

  • Qdrant RAG MCP Server

    ancoleman
    F
    license
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    quality
    D
    maintenance
    Enables context-aware semantic search across codebases using Qdrant vector database with intelligent GitHub issue resolution, Projects V2 management, and progressive context retrieval for 95%+ token reduction in AI-assisted development.
    Last updated
    9

  • Qdrant MCP Server

    andrewlwn77
    A
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    quality
    C
    maintenance
    Provides semantic memory capabilities using Qdrant vector database with configurable embedding providers, allowing storage and retrieval of information using vector similarity.
    Last updated
    2
    Apache 2.0

  • Qdrant MCP Server

    steiner385
    A
    license
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    quality
    C
    maintenance
    Enables 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.
    Last updated
    2
    MIT

  • Qdrant MCP Server

    mhalder
    A
    license
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    quality
    A
    maintenance
    Enables semantic search and document management using a local Qdrant vector database with OpenAI embeddings. Supports natural language queries, metadata filtering, and collection management for AI-powered document retrieval.
    Last updated
    274
    32
    MIT

  • MCP Qdrant Codebase Embeddings

    steiner385
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    license
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    quality
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    maintenance
    A Model Context Protocol server that provides semantic understanding of codebases using Qdrant vector database, enabling AI assistants to search files by purpose, discover relationships between files, analyze architecture, and identify refactoring opportunities.
    Last updated

  • py-mcp-qdrant-rag

    amornpan
    F
    license
    -
    quality
    D
    maintenance
    Enables semantic search and retrieval-augmented generation (RAG) using Qdrant vector database. Supports indexing documents from URLs and local directories, with flexible embedding options using Ollama or OpenAI.
    Last updated
    2

  • qdrant-mcp

    msstnk
    F
    license
    -
    quality
    C
    maintenance
    MCP server for document ingestion and semantic search on Qdrant. Enables ingesting local documents, generating embeddings with OpenAI, and performing vector search with metadata filters.
    Last updated

  • Qdrant Sync MCP Server

    No-Smoke
    F
    license
    -
    quality
    -
    maintenance
    Enables bidirectional synchronization of vector database collections between local and remote Qdrant instances with tools for comparison, dry-run previews, and sync operations in both directions.
    Last updated

  • slack-indexed

    KanvaBhatia-Alaan
    F
    license
    A
    quality
    C
    maintenance
    An MCP server for semantic search and retrieval of indexed Slack messages stored in Qdrant using Cohere reranking via AWS Bedrock. It enables users to search through Slack history, retrieve full message threads, and access channel or user statistics through natural language.
    Last updated
    5

  • mnemostack

    udjin-labs
    A
    license
    A
    quality
    C
    maintenance
    Durable hybrid memory for AI agents. Combines vector search, BM25, temporal retrieval, and optional Memgraph knowledge graph via reciprocal rank fusion. 6 MCP tools: health, search, answer, feedback, graph_query, graph_add_triple. Self-hosted with Qdrant backend.
    Last updated
    4
    4
    Apache 2.0