# iMessage MCP Server

> Use this tool when you need to integrate iMessage functionality into MCP-compatible clients, enabling users to read, search, and send messages directly from the client. It solves problems of fragmented communication channels and limited access to iMessage data, supporting use cases such as customer service, team collaboration, and personal messaging. The tool accepts inputs from MCP clients and outputs iMessage data, including conversations, attachments, and chat history, making it ideal for contexts where unified messaging and seamless iMessage access are required.

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

## Description

Enables reading, searching, and sending iMessages directly from MCP-compatible clients by accessing the local macOS iMessage database, supporting conversations, attachments, and both individual and group chats.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/krh04mo37q)
- **Repository:** <https://github.com/sameelarif/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": "sameelarif-imessage-mcp"
    }
  }
}
```

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