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Qdrant Retrieve MCP Server

by gergelyszerovay
npmGitHub
TypeScript
MIT License
46
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Qdrant 检索 MCP 服务器

使用 Qdrant 矢量数据库进行语义搜索的 MCP 服务器。

特征

  • 跨多个集合的语义搜索

  • 多查询支持

  • 可配置结果计数

  • 收集来源追踪

注意：服务器连接到由 URL 指定的 Qdrant 实例。

注 2 ：第一次检索可能会比较慢，因为 MCP 服务器需要下载所需的嵌入模型。

API

工具

  • qdrant_retrieve

    • 根据多个查询从多个 Qdrant 向量存储集合中检索语义相似的文档

    • 输入：

      • collectionNames (string[])：要搜索的 Qdrant 集合的名称

      • topK （数字）：要检索的最相似文档的数量（默认值：3）

      • query （string[]）：要搜索的查询文本数组

    • 返回：

      • results ：检索到的文档数组，其中包含：

        • query ：产生此结果的查询

        • collectionName ：此结果来自的集合名称

        • text ：文档文本内容

        • score ：0 到 1 之间的相似度分数

与 Claude Desktop 一起使用

将其添加到您的claude_desktop_config.json中：

{ "mcpServers": { "qdrant": { "command": "npx", "args": ["-y", "@gergelyszerovay/mcp-server-qdrant-retrive"], "env": { "QDRANT_API_KEY": "your_api_key_here" } } } }

命令行选项

MCP server for semantic search with Qdrant vector database. Options --enableHttpTransport Enable HTTP transport [default: false] --enableStdioTransport Enable stdio transport [default: true] --enableRestServer Enable REST API server [default: false] --mcpHttpPort=<port> Port for MCP HTTP server [default: 3001] --restHttpPort=<port> Port for REST HTTP server [default: 3002] --qdrantUrl=<url> URL for Qdrant vector database [default: http://localhost:6333] --embeddingModelType=<type> Type of embedding model to use [default: Xenova/all-MiniLM-L6-v2] --help Show this help message Environment Variables QDRANT_API_KEY API key for authenticated Qdrant instances (optional) Examples $ mcp-qdrant --enableHttpTransport $ mcp-qdrant --mcpHttpPort=3005 --restHttpPort=3006 $ mcp-qdrant --qdrantUrl=http://qdrant.example.com:6333 $ mcp-qdrant --embeddingModelType=Xenova/all-MiniLM-L6-v2

This server cannot be installed

-
security - not tested
A
license - permissive license
-
quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

实现跨多个 Qdrant 矢量数据库集合的语义搜索，支持多查询功能并提供具有可配置结果计数的语义相关文档检索。

  1. 特征
    1. API
      1. 工具
    2. 与 Claude Desktop 一起使用
      1. 命令行选项

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