# mail-mcp-bridge

> mail-mcp-bridge — fatbobman-mail-mcp-bridge. Use this tool when you need to integrate macOS Mail with AI models, enabling seamless communication and data exchange through the Model Context Protocol. It solves problems of manual data transfer and synchronization, allowing for automated workflows and enhanced productivity. The mail-mcp-bridge tool takes email data as input and outputs formatted data for AI model consumption, ideal for use cases requiring email-based data analysis or automation.

Canonical page: https://skillsregistry.net/skills/fatbobman-mail-mcp-bridge  
JSON: https://api.skillsregistry.net/v1/skills/fatbobman-mail-mcp-bridge

## Description

Connect macOS Mail to AI through Model Context Protocol

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/fatbobman/mail-mcp-bridge)

## 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": "fatbobman-mail-mcp-bridge"
    }
  }
}
```

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