MCP·2AFBBD
C

mac_messages_mcp

By carterlasalle·Visit Source
Python bridge for macOS Messages via MCP
April 16, 2025
2 months ago
0 Clicks
About mac_messages_mcp

Python bridge for macOS Messages via MCP. mac_messages_mcp is a Model Context Protocol (MCP) server maintained by carterlasalle. It connects to MCP-compatible clients such as Claude Desktop, Cursor, Cline, and other agents that speak the protocol. It is categorized under Communication/iMessage, Tool/Python and Platform/macOS.

What is this MCP

This is a Model Context Protocol (MCP) that provides a Python interface to interact with macOS's native Messages app, enabling programmatic access to send and receive iMessages.

How to use this MCP

Install via PyPI or source, grant Full Disk Access permissions, then use either as a Python module (get_recent_messages/send_message) or run as a CLI server for integration with tools like Claude Desktop or Cursor IDE.

What this MCP can be used for

This enables automation of iMessage workflows, integration with AI assistants for message management, and building custom messaging tools that interact with macOS's native Messages database.

Repository Info
Stars:
272
Forks:
42
Watchers:
272
Last Updated: 2 months ago

AIMCP authority

DR and traffic signal for the AIMCP public domain.

FAQ

Frequently asked questions

What is the mac_messages_mcp MCP server?

mac_messages_mcp is a Model Context Protocol server from carterlasalle. It lets MCP-compatible AI clients call its tools over a standard interface, so agents like Claude, Cursor, and Cline can use it without custom integration.

How do I connect mac_messages_mcp to my AI client?

Add mac_messages_mcp to your client's MCP configuration using the stdio or SSE connection shown in the usage examples on this page, then restart the client to load the server.

Is mac_messages_mcp free to use?

mac_messages_mcp is listed on AIMCP for free. Any API keys or accounts required by the underlying service are set by its provider.

Sponsored

Vernclaw Plugins for OpenClaw

Ready-to-use connectors for SEO data, social reading & content generation. Pay-as-you-go credits with audit logs.