mcp-server-qdrant-enhanced

bryankthompson/mcp-server-qdrant-enhanced

★ 2 stars Python AI/LLM Updated 2d ago

Enhanced Qdrant MCP Server is a production-ready fork of the original that transforms the basic MCP server into an enterprise-grade solution with GPU acceleration, multi-vector support, and automated deployment infrastructure.

View on GitHub → 🔍 Audit Wallet Slippage →

Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "mcp-server-qdrant-en": {
      "command": "uvx",
      "args": [
        "mcp-server-qdrant-enhanced"
      ]
    }
  }
}

Or install with pip: pip install mcp-server-qdrant-enhanced

README Excerpt

> **🚀 Production-Ready Enhancement** of the original [mcp-server-qdrant](https://github.com/qdrant/mcp-server-qdrant) with GPU acceleration, multi-vector support, and enterprise-grade deployment infrastructure. **Enhanced Model Context Protocol server** for [Qdrant](https://qdrant.tech/) vector database with advanced features including GPU acceleration, collection-specific embedding models, and production deployment automation.

Tools (20)

COLLECTION_MODEL_MAPPINGSCOLLECTION_NAMECUDA_VISIBLE_DEVICESDockerfileEMBEDDING_MODELEMBEDDING_PROVIDERFASTEMBED_CUDAMCP_ALLOWED_HOSTSMCP_TRANSPORTQDRANT_API_KEYQDRANT_AUTO_CREATE_COLLECTIONSQDRANT_ENABLE_QUANTIZATIONQDRANT_HNSW_EF_CONSTRUCTQDRANT_HNSW_MQDRANT_LOCAL_PATHQDRANT_SEARCH_LIMITQDRANT_URLTOOL_FIND_DESCRIPTIONTOOL_STORE_DESCRIPTIONfastembed

Topics

cuda-supportdockerfastmcpmcp-servermcp-toolsqdrant-vector-databasestoragevectorization

mcp-server-qdrant-enhanced

Quick Install

README Excerpt

Tools (20)

Topics

Related AI/LLM Servers