Pageindex Mcp

Pageindex Mcp

Reasoning-based PDF chat via MCP—no vector DB required.

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About Pageindex Mcp

Pageindex MCP is an MCP server providing LLMs and MCP-compatible clients with a reasoning-based, vectorless RAG (retrieval-augmented generation) system for chatting with and querying long PDFs. Instead of vector similarity, it leverages hierarchical tree structures and multi-step reasoning to retrieve relevant content, mimicking how a human expert navigates documents. It supports both local and online PDF files and can be integrated with agent frameworks such as Claude, Cursor, and any MCP-compatible platform. Ideal for developers and teams needing accurate, context-aware document interaction inside AI assistants without vector database overhead.

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