# iwork_mcp

> iwork_mcp — reichenbach-iwork-mcp. Use this tool when you need to automate Apple iWork tasks, such as template discovery and batch operations for Numbers, Pages, and Keynote. It solves problems like inefficient manual processing and limited template management, providing 113 tools and Creator Studio AI capabilities. With a simple one-line installation, it streamlines iWork workflows through a git-enabled interface.

Canonical page: https://skillsregistry.net/skills/reichenbach-iwork-mcp  
JSON: https://api.skillsregistry.net/v1/skills/reichenbach-iwork-mcp

## Description

MCP server for Apple iWork automation — 113 tools for Numbers, Pages, and Keynote. Template discovery, Creator Studio AI tools, compound batch operations. One line to install.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/reichenbach/iwork_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": "reichenbach-iwork-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/reichenbach-iwork-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/reichenbach-iwork-mcp/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