# Mac Local Mail MCP

> Mac Local Mail MCP — lg66lgnb-sketch-mac-local-mail-mcp. Use this tool when you need to access and manage Apple Mail on macOS, enabling search, reading, and inspection of emails, conversations, and attachments. It solves problems related to email analysis and drafting, allowing users to create new or reply to existing emails without modifying the original messages. Ideal for use cases requiring email investigation or response drafting, with inputs including email searches and outputs including drafted emails.

Canonical page: https://skillsregistry.net/skills/lg66lgnb-sketch-mac-local-mail-mcp  
JSON: https://api.skillsregistry.net/v1/skills/lg66lgnb-sketch-mac-local-mail-mcp

## Description

Enables MCP clients to search, read, and inspect Apple Mail on macOS, including conversations and attachments. It can create new, reply, reply-all, or forward drafts, but cannot send or modify existing messages.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u8urncj4qr)
- **Repository:** <https://github.com/lg66lgnb-sketch/mac-local-mail-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": "lg66lgnb-sketch-mac-local-mail-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lg66lgnb-sketch-mac-local-mail-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lg66lgnb-sketch-mac-local-mail-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
