# PDF Toolkit

> Use this tool when you need to manipulate and process PDF files, solving problems such as document merging, file size reduction, and security enhancement. It provides a range of functionalities, including merging, splitting, compressing, and password protection, with inputs of PDF files and project keys, and outputs of modified PDF files. It is ideal for use cases where PDF modification and optimization are required, with an optional sandbox mode for restricted file I/O.

Canonical page: https://skillsregistry.net/skills/eigencharlie-pdf-toolkit  
JSON: https://api.skillsregistry.net/v1/skills/eigencharlie-pdf-toolkit

## Description

PDF Toolkit provides AI agents with comprehensive PDF manipulation capabilities including merging, splitting, compressing, OCR, file conversion, watermarking, and password protection via the iLoveAPI service. Users supply iLoveAPI project keys from developer.ilovepdf.com. An optional sandbox root path restricts all file I/O to a specified directory.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/eigencharlie-pdf-toolkit)
- **Repository:** <https://github.com/eigencharlie/pdf-toolkit-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": "eigencharlie-pdf-toolkit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/eigencharlie-pdf-toolkit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/eigencharlie-pdf-toolkit/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