# multimodal-imessage-mcp

> Use this tool when you need to manage and interact with iMessages, such as reading, searching, and sending messages, as well as viewing image attachments. It solves problems related to iMessage conversation management, including parsing modern macOS attributedBody formats. The tool takes iMessage data as input and outputs parsed conversations, messages, and attachments, making it ideal for use cases involving iMessage automation and analysis.

Canonical page: https://skillsregistry.net/skills/tszaks-imessage-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tszaks-imessage-mcp

## Description

Enables reading, searching, sending iMessages, viewing image attachments, and managing conversations, with full support for modern macOS attributedBody parsing.

## Trust

- **Trust score (0–1):** 0.46
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qg24ohrd9o)
- **Repository:** <https://github.com/tszaks/imessage-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": "tszaks-imessage-mcp"
    }
  }
}
```

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

---
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