MCP server for reading LlamaIndex documents stored in Qdrant vector database
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# qdrant-llamaindex-mcp-server: LlamaIndex-Compatible Qdrant MCP Server > The [Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) is an open protocol that enables > seamless integration between LLM applications and external data sources and tools. Whether you're building an > AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to > connect LLMs with the context they need. This repository is a fork of [qdrant/mcp-server-qdrant](https://github.com/qdrant/mcp-server-qdrant) specifically designed to work with documents stored by [LlamaIndex](https://llamaindex.ai/) in [Qdrant](https://qdrant.tech/) vector databases. ## ⚠️ Important Differences from Official Server This fork has **breaking changes** compared to the official `qdrant/mcp-server-qdrant`: - **🔧 Many More Tools**: Provides 10+ tools vs. the official server's basic find/store tools - **🎯 Dynamic Collection Selection**: Collection names are specified at runtime by MCP clients, not hardcoded in configuration - **🤖 Dynamic Embedding Model Detection**: Automatically detects and loads the correct embedding model for each collection - **📚 LlamaIndex Compatibility**: Adapts to different content field names and metadata structures used by LlamaIndex - **🔒 Enhanced Security**: Built-in embedding model whitelist to prevent accidental loading of large models **These changes make configurations incompatible with the official server.** You cannot simply swap this server for the official one without updating your configuration and workflow. ## Overview A comprehensive Model Context Protocol server for working with documents stored by LlamaIndex in Qdrant vector databases. Unlike the original server which provides basic functionality with a fixed document structure, this version offers extensive tooling and automatically adapts to different payload formats used by LlamaIndex. ## Key Features - **LlamaIndex Compatibility**: Aut…
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