# iMessage

> Use this tool when you need to integrate AI capabilities into Apple's iMessage platform, enabling seamless communication between AI models and users via iMessage conversations. It solves the problem of complex messaging protocol handling, allowing AI assistants to send and receive messages effortlessly. With Python as the input interface, it provides a straightforward output of iMessage conversations, ideal for creating AI-powered chatbots and automated response systems.

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

## Description

This iMessage MCP server, developed by Sourabh Shirhatti, enables AI assistants to interact with Apple's iMessage platform. Built using Python and leveraging the mcp library, it provides a bridge between AI models and iMessage conversations. The implementation focuses on simplifying iMessage integration, allowing AI to send and receive messages without needing to handle the complexities of Apple's messaging protocols directly. It's particularly useful for creating AI-powered chatbots, automated response systems, or personal assistants that can communicate via iMessage, enabling seamless integration of AI capabilities into users' existing messaging workflows on Apple devices.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/shirhatti-imessage)
- **Repository:** <https://github.com/shirhatti/mcp-server-imessage>

## 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": "shirhatti-imessage"
    }
  }
}
```

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