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# PageIndex MCP
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[![PageIndex MCP Home](https://img.shields.io/badge/PageIndex_MCP_Home-4280d3?style=for-the-badge&logo=readthedocs&logoColor=white)](https://pageindex.ai/mcp)  
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[![PageIndex MCP Home](https://img.shields.io/badge/PageIndex_MCP_Home-4280d3?style=for-the-badge&logo=readthedocs&logoColor=white)](https://pageindex.ai/mcp)  [![PageIndex Home](https://img.shields.io/badge/PageIndex_Home-3B82F6?style=for-the-badge&logo=homeadvisor&logoColor=white)](https://vectify.ai/pageindex)
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[**PageIndex**](https://github.com/VectifyAI/PageIndex) is a vectorless, reasoning-based RAG system that represents documents as **hierarchical tree structures**. It enables LLMs to navigate and retrieve information through structure and **reasoning**, not vector similarity — much like a human would.
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[**PageIndex MCP**](https://pageindex.ai/mcp) exposes this LLM-native tree index directly to agents and LLMs via MCP, allowing platforms like **Claude**, **Cursor**, and other MCP-compatible agents or LLMs to reason over document structure and retrieve information natively — without vector databases.
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Want to chat with long PDFs but hit context limit reached errors? Add your file to PageIndex to seamlessly chat with long PDFs on any agent/LLM platforms.
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