A Model Context Protocol (MCP) server that provides RAG capabilities to Cursor using Qdrant.
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# QDrant Loader MCP Server [](https://pypi.org/project/qdrant-loader-mcp-server/) [](https://pypi.org/project/qdrant-loader-mcp-server/) [](https://www.apache.org/licenses/LICENSE-2.0) A Model Context Protocol (MCP) server that brings advanced RAG search to AI development tools. Part of the [QDrant Loader monorepo](../../) ecosystem. ## 🎯 What It Does - **Provides intelligent search** through semantic, hierarchy-aware, and attachment-focused tools - **Integrates seamlessly** with Cursor, Windsurf, Claude Desktop, and other MCP-compatible tools - **Understands context** including document hierarchies, file relationships, and metadata - **Streams responses** for fast, real-time search results - **Preserves relationships** between documents, attachments, and parent content ## 🔌 Supported AI Tools | Tool | Status | Integration Features | | ------------------- | --------------- | ---------------------------------------------------------------------------- | | **Cursor** | ✅ Full Support | Context-aware code assistance, documentation lookup, intelligent suggestions | | **Windsurf** | ✅ Compatible | MCP protocol integration, semantic search capabilities | | **Claude Desktop** | ✅ Compatible | Direct MCP integration, conversational search interface | | **Other MCP Tools** | ✅ Compatible | Any tool supporting MCP 2024-11-05 specification | For per-tool JSON configuration, see **[MCP setup and integration](../../docs/users/detailed-guides/mcp-server/setup-and-integration.md)**. ## 🔍 Search Tools ### Core search tools | Tool | Purpose …
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