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baryhuang/mcp-remote-macos-use

baryhuang/mcp-remote-macos-use

AI agent for full Mac control
在 GitHub 查看 ↗直链 · 无中转页
来源明细
收录自 abordage/awesome-mcp 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-14 · 最近见到 2026-10-16 · 共见到 4 次 · 被 3 个来源列出
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综合分 303 · 3 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
我们收录于 2026-10-14;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

MCP Server - Remote MacOs Use

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

**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 while maintaining flexibility
3. **VNC Cursor Visibility** - Improve debugging and demo experience
*We welcome contributions!*
Features
* **No Extra API Costs**: Free screen processing with your existing Claude Pro plan
* **Minimal Setup**: Just enable Screen Sharing on the target Mac – no additional software needed
* **Universal Compatibility**: Works with all macOS versions, current and future
Why We Built This
Native macOS Experience Without Compromise
The macOS native ecosystem remains unmatched in user experience today and will continue to be the gold standard for years to come. This is where human capabilities truly thrive, and now your AI can operate in this environment with the same fluency.
Open Architecture By Design
* **Universal LLM Compatibility**: Work with any MCP Client of your choice
* **Model Flexibility**: Seamlessly integrate with OpenAI, Anthropic, or any other LLM provider
* **Future-Proof Integration**: Designed to evolve with the MCP ecosystem
Effortless Deployment
* **Zero Setup on Target Machines**: No background applications or agents needed on macOS
* **Screen Sharing is All You Need**: Control any Mac with Screen Sharing enabled
* **Eliminate Backend Complexity**: Unlike other solutions that require running Python applications or background services
Streamlined Bootstrap Process
* **Leverage Claude Desktop's Polished UI**: No need for developer-style Python interfaces
* **Intuitive User Experience**: Interact with your AI-controlled Mac through a familiar, user-friendly interface
* **Instant Productivity**: Start working immediately without configuration hassles
Architecture
Installation
- Enable Screen Sharing on MacOs **If you rent a mac from macstadium.com, you can skip this step**
- Connect to your remote MacOs
- Install Docker Desktop for local Mac
- Add this MCP server to Claude Desktop
You can configure Claude Desktop to use the Docker image by adding the following to your Claude configuration:
WebRTC Support via LiveKit
This server now includes WebRTC support through LiveKit integration, enabling:
- Low-latency real-time screen sharing
- Improved performance and responsiveness
- Better network efficiency compared to traditional VNC
- Automatic quality adaptation based on network conditions
To use WebRTC features, you'll need to:
1. Set up a LiveKit server or use LiveKit Cloud
2. Configure the LiveKit environment variables as shown in the configuration example above
来源
awesome · https://github.com/baryhuang/mcp-remote-macos-use
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