mcp-remote-macos-use MCP Server
baryhuang/mcp-remote-macos-use
[](https://agentrank-ai.com/tool/baryhuang--mcp-remote-macos-use/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) The only general AI agent that does NOT requires extra API key, giving you full control on your local and remote MacOs from Claude Desktop App
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
baryhuang/mcp-remote-macos-use is a Python tool licensed under MIT. The only general AI agent that does NOT requires extra API key, giving you full control on your local and remote MacOs from Claude Desktop App Topics: computer-use, mcp-server, macos-use, claude-desktop, macos, general-agent.
Ranked #6471 out of 24846 indexed tools.
Ecosystem
Score Breakdown
490 stars → growing community
Last commit 1y ago → stale
5/7 issues closed → decent issue management
3 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
# MCP Server - Remote MacOs Use **The first open-source MCP server that enables AI to fully control remote macOS systems.** **A direct alternative to OpenAI Operator, optimized specifically for autonomous AI agents with complete desktop capabilities, requiring no additional software installation.** **Showcases** - Research Twitter and Post Twitter(https://www.youtube.com/watch?v=--QHz2jcvcs) - Use CapCut to create short highlight video(https://www.youtube.com/watch?v=RKAqiNoU8ec) - AI Recruiter: Automated candidate information collection, qualifying applications and sending screening sessions using Mail App - AI Marketing Intern: LinkedIn engagement - automated following, liking, and commenting with relevant users - AI Marketing Intern: Twitter engagement - automated following, liking, and commenting with relevant users ## To-Do List (Prioritized) 1. **Performance Optimization** - Match speed of Ubuntu desktop alternatives 2. **Apple Scripts Generation** - Reduce execution time wRead full README on GitHub →
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