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Qdrant vector database and search engine MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

17,155 servers. Last updated 2026-02-09 21:31

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"Qdrant vector database and search engine" matching MCP servers:

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    Enables Google search queries and webpage content extraction through an MCP server deployed on Cloudflare Workers. Supports single and batch webpage content extraction with integrated OAuth authentication.
    Last updated 7 months ago
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    Provides semantic memory capabilities using Qdrant vector database with configurable embedding providers, allowing storage and retrieval of information using vector similarity.
    Last updated 7 months ago
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    Apache 2.0
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    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 7 months ago
    MIT
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    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 11 days ago
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    MIT
    • Apple
    • Linux
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    A code understanding and generation system designed for Galacean Engine that helps LLMs comprehend the engine architecture and generate high-quality engine code based on user intent.
    Last updated 6 months ago

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