apple-mail-mcp: MCP server giving AI assistants full access to Apple Mail

by patrickfreyer · MCP Server · ★ 246

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install apple-mail-mcp

git clone https://github.com/patrickfreyer/apple-mail-mcp.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 77/100

None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

aiapple-mailapplescriptautomationclaudeemailfastmcpmacosmcpmcp-server

Quick Facts

Stars246
Forks61
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score77/100
Open Issues19
Last Updated2026-11-02
Created2025-10-14
Platformsclaude-code, mcp, python
Est. Tokens~15k

About apple-mail-mcp

Apple Mail MCP Server Star History An MCP server that gives AI assistants full access to Apple Mail -- read, search, compose, organize, and analyze emails via natural language. Built with FastMCP. Quick Start Prerequisites: macOS with Apple Mail configured, Python 3.7+ Add to your Claude Desktop config (): Restart Claude Desktop and grant Mail.app permissions when prompted. Tip:

apple-mail-mcp alternative? Top 6 similar tools

Looking for a apple-mail-mcp alternative? If you're comparing apple-mail-mcp with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • apple-mail-mcp by sweetrb · ⭐ 106

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  • icloud-mcp by MrGo2 · ⭐ 74

    MCP server for Apple services — Mail, Calendar, Contacts, Reminders, Notes, Messages, Safari — via AppleScript

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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