pageindex-mcp MCP Server
VectifyAI/pageindex-mcp
[](https://agentrank-ai.com/tool/VectifyAI--pageindex-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) MCP server for PageIndex. PageIndex is a vectorless reasoning-based RAG system which uses multi-step reasoning and tree search to retrieve information like a human expert would.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
VectifyAI/pageindex-mcp is a TypeScript MCP server licensed under MIT. MCP server for PageIndex. PageIndex is a vectorless reasoning-based RAG system which uses multi-step reasoning and tree search to retrieve information like a human expert would.
Ranked #3923 out of 24846 indexed tools.
Ecosystem
Score Breakdown
400 stars → growing community
Last commit 3mo ago → stale
1/1 issues closed → responsive maintainer
4 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
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# PageIndex MCP
> If you find this repo useful, please also star our **[main PageIndex repo](https://github.com/VectifyAI/PageIndex)** ⭐
📘 [**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 retrieve information using a book's index.
🔌 [**PageIndex MCP**](https://pageindex.ai/mcp) exposes this **LLM-native, in-context tree index** directly to LLMs via MCP, allowing platforms like **Claude**, **Cursor**, and other MCP-compatible agents or LLMs to reason over document structure and retrieve the right information — without vector databases.
Want to chat with long PDFs but hit context limit reached errors? Add your file to PageIndex to Read full README on GitHub → Get the weekly AgentRank digest
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