What are the system requirements?
macOS 12 (Monterey) or later, Python 3.11+, and the UV package manager. Accessibility and Screen Recording permissions must be granted manually.
@CursorTouch
基本情報
MCP for computer-use in MacOS
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"macos-mcp": {
"command": "uvx",
"args": [
"macos-mcp"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
Macos-MCP is a lightweight, open‑source Model Context Protocol server that bridges AI agents and the macOS operating system. It enables LLMs to automate tasks such as file navigation, application control, UI interaction, browser automation, and system operations on macOS.
Install Python 3.11+, the UV package manager, and ensure macOS 12+. Run the server with uvx macos-mcp (stdio transport) or with --transport sse or --transport streamable-http for network access. Optionally install it as a background service using macos-mcp install. Grant Accessibility and Screen Recording permissions in System Settings. Integrate with MCP clients like Claude Desktop, Gemini CLI, Claude Code, or Pi Agent by adding the uvx macos-mcp command to the client’s MCP server configuration.
macOS 12 (Monterey) or later, Python 3.11+, and the UV package manager. Accessibility and Screen Recording permissions must be granted manually.
No. It works with any LLM and does not require a computer vision model, fine‑tuning, or API keys for local use. For network transports, an optional authentication key can be set.
Open System Settings → Privacy & Security → Accessibility, add your terminal, Python, and UV executables, then restart the terminal. For the Snapshot tool, also grant Screen Recording permissions to the same applications.
Yes. Use the `--transport sse` or `--transport streamable-http` flags to expose the server over HTTP. Security features like auth keys, IP allowlists, TLS, and OAuth 2.0 + PKCE are available.
Manual permission grants are required. Some apps have limited Accessibility API support. Complex UIs may slow traversal. Certain text fields may not receive keystrokes. System authentication dialogs cannot be automated.

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