# document-adapter

> document-adapter — plateerlab-document-adapter. Use this tool when you need to integrate large language models (LLMs) with various document formats, such as DOCX, PPTX, and HWPX, to enable direct editing capabilities. It solves problems related to document compatibility and editing, providing a unified adapter and MCP server for seamless integration with tools like Claude Desktop, Claude Code, and Anthropic API. The document-adapter takes in document files as input and outputs edited files, making it ideal for use cases that require automated document processing and editing.

Canonical page: https://skillsregistry.net/skills/plateerlab-document-adapter  
JSON: https://api.skillsregistry.net/v1/skills/plateerlab-document-adapter

## Description

LLM이 DOCX/PPTX/HWPX 문서를 직접 편집할 수 있게 해주는 통합 어댑터 + MCP 서버. Claude Desktop / Claude Code / Anthropic API Tool Use 호환. pip install document-adapter

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/PlateerLab/document-adapter)

## 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": "plateerlab-document-adapter"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/plateerlab-document-adapter` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/plateerlab-document-adapter/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