PageIndex MCP

If you find this repo useful, please also star our main PageIndex repo ⭐

📘 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, 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 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, visit the PageIndex MCP page.

💡 Looking for a fully hosted experience? Try PageIndex Chat 🤖: a human-like document analyst that lets you chat with long PDFs using the same agentic, reasoning-based workflow as PageIndex MCP.

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

# # For Developers

Connect PageIndex to your agent framework or AI SDK via MCP. Works with Claude Agent SDK, Vercel AI SDK, OpenAI Agents SDK, LangChain, and any MCP-compatible client. Simple API Key authentication — no OAuth flow required.

1. Go to PageIndex Dashboard to create an API Key
2. Copy the generated key
3. Add to your MCP configuration:

{
  "mcpServers": {
    "pageindex": {
      "type": "http",
      "url": "https://api.pageindex.ai/mcp",
      "headers": {
        "Authorization": "Bearer your_api_key"
      }
    }
  }
}

For more details, visit the PageIndex API Dashboard.

# # For PageIndex Chat Users

If you already have a PageIndex Chat account, you can connect your MCP client directly via OAuth.

Claude Desktop — One-Click Install:

Download the .mcpb file from Releases and double-click to install. OAuth authentication is handled automatically.

Other MCP Clients:

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

Local MCP Server (with local PDF upload):

If you need to upload local PDF files, you can run the local MCP server (requires Node.js ≥18.0.0):

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

For more details, visit PageIndex Chat.

Related Links

# License

This project is licensed under the terms of the MIT open source license. Please refer to MIT for the full terms.