JonathanRReed/Apple-MCPs
by Various
Model Context Protocol (MCP) servers that give AI agents local access to macOS apps: Mail, Calendar, Reminders, Messages, Contacts, Notes, Shortcuts, Files, System, and Maps. Unifi
MCP
JonathanRReed/Apple-MCPs
Added 8 Sept 2026
Overview
A collection of Model Context Protocol (MCP) servers that give AI agents local access to macOS applications, including Mail, Calendar, Reminders, Messages, Contacts, Notes, Shortcuts, Files, System, and Maps. It provides both a unified server and focused single-app servers, written in Python.
Best for
Best for
Developers building AI agents that need to interact with native macOS applications.
Use cases
- Enable an AI assistant to read and compose emails via Mail
- Allow an agent to manage calendar events and reminders
- Give a coding assistant access to local files and system controls
How to use
Install
npx -y @modelcontextprotocol/conformance@0.2.0-alpha.11 server --url http://127.0.0.1:8765/mcp --requirements 2026-07-28 Tested with
Claude Desktop, Claude Code
Notes
A collection of Model Context Protocol (MCP) servers that give AI agents local access to macOS applications, including Mail, Calendar, Reminders, Messages, Contacts, Notes, Shortcuts, Files, System, and Maps. It provides both a unified server and focused single-app servers, written in Python.
12 stars on GitHub. Last updated 2026-09-07. Licensed MIT.
Use cases
- Enable an AI assistant to read and compose emails via Mail
- Allow an agent to manage calendar events and reminders
- Give a coding assistant access to local files and system controls
Pros
- Covers a wide range of native macOS apps in one project
- Offers both a combined server and per-app servers for flexibility
- Simple Python-based implementation for easy integration
Cons
- Limited community adoption (12 stars) may indicate maturity issues
- Requires macOS and appropriate permissions for each app
- No explicit documentation or usage examples provided in the facts
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Covers a wide range of native macOS apps in one project
- Offers both a combined server and per-app servers for flexibility
- Simple Python-based implementation for easy integration
Cons
- Limited community adoption (12 stars) may indicate maturity issues
- Requires macOS and appropriate permissions for each app
- No explicit documentation or usage examples provided in the facts
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