# pdf-chapter-splitter

> Use this tool when you need to split large PDF documents into manageable chunks for easier reading and analysis. It solves the problem of navigating lengthy PDFs by dividing them into chapters or sections, making it ideal for processing and understanding complex documents. The tool takes PDF files as input and outputs structured, Claude-friendly chunks for more efficient consumption.

Canonical page: https://skillsregistry.net/skills/keigoly-pdf-chapter-splitter  
JSON: https://api.skillsregistry.net/v1/skills/keigoly-pdf-chapter-splitter

## Description

An MCP server that splits PDFs by chapters/sections and reads them in Claude-friendly chunks. Enables structured reading of large PDF documents.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u2yujmqd00)
- **Repository:** <https://github.com/keigoly/pdf-chapter-splitter>

## 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": "keigoly-pdf-chapter-splitter"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/keigoly-pdf-chapter-splitter` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/keigoly-pdf-chapter-splitter/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