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MacOS-MCP MCP Server

CursorTouch/MacOS-MCP

Score: 86.2 → 0% Rank #729 MCP Server
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Lightweight MCP server for computer use in MacOS

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Overview

CursorTouch/MacOS-MCP is a Python MCP server licensed under MIT. Lightweight MCP server for computer use in MacOS Topics: computer-use, macos, mcp-server.

Ranked #729 out of 24846 indexed tools.

In the top 3% of all indexed tools.

Ecosystem

Python MIT
computer-usemacosmcp-server

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 202

202 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → recently updated

Issue Health 25% 90%

19/21 issues closed → responsive maintainer

Contributors 10% 9

9 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 32
Description Brief
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

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AgentRank score for CursorTouch/MacOS-MCP
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Matched Queries

"mcp server""mcp-server"topic:mcp-server

From the README

<div align="center">
  <h1>🍎 macOS-MCP</h1>

  <a href="https://github.com/Jeomon/macos-mcp/blob/main/LICENSE">
    
  </a>
  
  
  

</div>

## Overview

**macOS-MCP** is a lightweight, open-source Model Context Protocol server that bridges AI agents and the macOS operating system. It enables seamless automation of macOS through LLMs via tasks such as **file navigation, application control, UI interaction, browser automation**, and system operations.

## Supported Operating Systems

- macOS 12 (Monterey)
- macOS 13 (Ventura)
- macOS 14 (Sonoma)
- macOS 15 (Sequoia)
- macOS 26 (Tahoe)

## Key Features

- **Works with Any LLM** (Vision Optional)  
  Unlike traditional automation tools, macOS-MCP doesn't require computer vision, fine-tuned models, or specialized setup. Works seamlessly with any LLM—Claude, GPT, Gemini, or others.

- **Native macOS Integration**  
  Interacts natively with macOS UI elements using the Accessibility API. Opens apps, controls windows, simulates user input, 
Read full README on GitHub →

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