# PageIndex

> Use this tool when you need to efficiently extract information from lengthy PDF documents, such as financial reports or technical manuals, and transform them into organized hierarchical indexes. PageIndex solves the problem of manual document analysis by using multi-step reasoning to retrieve specific information with high accuracy and explainability. It accepts local or online PDF files as input and outputs a structured tree index, making it ideal for domain-specific document analysis tasks.

Canonical page: https://skillsregistry.net/skills/pageindex  
JSON: https://api.skillsregistry.net/v1/skills/pageindex

## Description

PageIndex transforms long PDF documents into hierarchical tree indexes and uses multi-step reasoning to retrieve information like a human expert would. Supports both local files and online PDFs, delivering higher accuracy and explainability without vector databases or chunking. Designed for domain-specific document analysis including financial reports, legal documents, medical files, and technical manuals.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/pageindex)
- **Repository:** <https://github.com/vectifyai/pageindex-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "pageindex"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pageindex` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pageindex/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt