Using Qdrant vector database for code indexing MCP servers

"Using Qdrant vector database for code indexing" matching MCP servers:

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  mcp-server-qdrantofficial

  qdrant

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  This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

  Last updated 2 months ago

  2

  1,186

  Apache 2.0

• MCP Server for Qdrant

  Jimmy974

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  A Machine Control Protocol (MCP) server that enables storing and retrieving information from a Qdrant vector database with semantic search capabilities.

  Last updated 10 months ago

• Qdrant MCP Server

  andrewlwn77

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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

  1

  Apache 2.0

• Database Tools for Claude AI

  elber-code

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  MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.

  Last updated 9 months ago

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• Qdrant MCP Server

  steiner385

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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 License

• Google Indexing API MCP Server

  ag2-mcp-servers

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  An MCP server that enables interacting with Google's Indexing API, allowing agents to submit URLs to Google for indexing or removal from search results through natural language commands.

  Last updated 6 months ago