pageindex-mcp by VectifyAI - MCP Server

PageIndex MCP

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 exposes this LLM-native 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 seamlessly chat with long PDFs on any agent/LLM platforms.

✨ Chat to long PDFs the human-like, reasoning-based way ✨

Support local and online PDFs
Free 1000 pages
Unlimited conversations

For more information about PageIndex MCP, check out the PageIndex MCP project page.

What is PageIndex?

PageIndex is a vectorless, reasoning-based RAG system that generates hierarchical tree structures of documents and uses multi-step reasoning and tree search to retrieve information like a human expert would. It has the following key properties:

Higher Accuracy: Relevance beyond similarity
Better Transparency: Clear reasoning trajectory with traceable search paths
Like A Human: Retrieve information like a human expert navigates documents
No Vector DB: No extra infrastructure overhead
No Chunking: Preserve full document context and structure
No Top-K: Retrieve all relevant passages automatically

PageIndex MCP Setup

See PageIndex MCP for full video guidances.

1. For Claude Desktop (Recommended)

One-Click Installation with Desktop Extension (MCPB):

Download the latest .mcpb file from Releases
Double-click the .mcpb file to install automatically in Claude Desktop
The OAuth authentication will be handled automatically when you first use the extension

Note: Claude Desktop Extensions now use the .mcpb (MCP Bundle) file extension. Existing .dxt extensions will continue to work, but we recommend using .mcpb for new installations.

This is the easiest way to get started with PageIndex's reasoning-based RAG capabilities.

2. For Other MCP-Compatible Clients

Option 1: Local MCP Server (with local PDF upload)

Requirements: Node.js ≥18.0.0

Add to your MCP configuration:

{
  "mcpServers": {
    "pageindex": {
      "command": "npx",
      "args": ["-y", "pageindex-mcp"]
    }
  }
}

Note: This local server provides full PDF upload capabilities and handles all authentication automatically.

Option 2: Direct Connection to PageIndex

Connect directly to the PageIndex OAuth-enabled MCP server:

{
  "mcpServers": {
    "pageindex": {
      "type": "http",
      "url": "https://mcp.pageindex.ai/mcp"
    }
  }
}

For clients that don't support HTTP MCP servers:

If your MCP client doesn't support HTTP servers directly, you can use mcp-remote as a bridge:

{
  "mcpServers": {
    "pageindex": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.pageindex.ai/mcp"]
    }
  }
}

Note: Option 1 provides local PDF upload capabilities, while Option 2 only supports PDF processing via URLs (no local file uploads).

VectifyAI/pageindex-mcp