Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

macOS-MCP

by Jeomonversion 0.3.6i★ –iRuns on your computer
Registry nameio.github.Jeomon/macos-mcp

Install

Overview

Description from the maker (original English)

MCP server for macOS desktop automation via the Accessibility API.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "macos": {
      "command": "uvx",
      "args": [
        "macos-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add macos -- uvx macos-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "macos": {
      "command": "uvx",
      "args": [
        "macos-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "macos": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "macos-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Jeomon, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 18353 servers in this category
  • Published to the registry more recently than 8% of the other 18353 servers in this category
  • Basic checks equal to or better than 100% of the other 18353 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is macOS-MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.3.6) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Date Math

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
Install

Date Math

by JowenDelaPena

Date/time math for agents: business days, holidays, time zones, cron, RRULE. 25 free calls/day.

Computer or cloudUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

🍎 macOS-MCP

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, and captures desktop state without workarounds.
  • Rich Toolset for Automation Complete toolkit for keyboard/mouse operations, window management, UI state capture, interactive element extraction from the accessibility tree, and AppleScript execution.
  • Lightweight and Open-Source Minimal dependencies with full source code available under MIT license. Easy setup and deployment.
  • Smart Context Awareness Automatically detects application state (Launchpad, Control Center, Spotlight). Scans menu bar, dock, desktop, and system UI elements intelligently.
  • Customizable and Extensible Easily extend with custom tools or modify behavior to suit your specific automation needs.

Installation

Prerequisites
  • Python: 3.11 or later
  • UV Package Manager: Install with pip install uv or curl -LsSf https://astral.sh/uv/install.sh | sh
  • macOS: 12 (Monterey) or later
  • Accessibility Permissions: Required for UI element interaction
Quick Start

Run the server directly:

uvx macos-mcp serve

Or with SSE/Streamable HTTP for network access

uvx macos-mcp serve --transport sse --host localhost --port 8000 uvx macos-mcp serve --transport streamable-http --host localhost --port 8000

Run it as a background service that starts now and at every login:

macos-mcp install

Or choose the HTTP transport and bind address explicitly

macos-mcp install --transport sse --host 127.0.0.1 --port 8000

This installs a launchd Launch Agent at ~/Library/LaunchAgents/com.macos-mcp.server.plist. Use macos-mcp uninstall to remove it. Logs are written to ~/.macos-mcp/server.log and ~/.macos-mcp/server.error.log.

Transport Options
TransportFlagUse Case
stdio (default)--transport stdioDirect connection from MCP clients like Claude Desktop, Cursor, etc.
sse--transport sse --host HOST --port PORTNetwork-accessible via Server-Sent Events
streamable-http--transport streamable-http --host HOST --port PORTNetwork-accessible via HTTP streaming (recommended for production)
Grant Required Permissions

macOS-MCP requires Accessibility and Screen Recording permissions to function properly.

Accessibility Permissions
  1. Open System Settings → Privacy & Security → Accessibility
  2. Click the lock icon and authenticate
  3. Add the following applications:
  • Your terminal application (Terminal, iTerm2, VS Code, etc.)
  • Python (typically /usr/bin/python3 or the Python version managed by UV)
  • UV (~/.local/bin/uv if installed locally, or the Python environment UV manages)
  1. Restart the terminal after granting permissions

For `uvx` users: Grant permissions to your terminal application and Python, as uvx runs Python packages from UV's cache.

If the interpreter binary is greyed out / unselectable in the "+" picker (a known issue with UV-managed Python symlinks, e.g. .venv/bin/python3.12 → ~/.local/share/uv/python/...): don't try to add it manually. Instead, just start the server — since v0.3.10 it calls AXIsProcessTrustedWithOptions with the prompt option on startup, which asks macOS to show its native consent dialog and auto-register the running process for you. Approve that dialog and restart the server.

If you're launched as a subprocess by a parent that already holds Accessibility access (e.g. certain Claude Desktop configurations), and permission checks still fail spuriously, set MACOS_MCP_SKIP_PERMISSION_CHECK=1 to downgrade the check to a warning instead of exiting.

Screen Recording Permissions

The Snapshot tool requires Screen Recording permissions to capture screenshots:

  1. Open System Settings → Privacy & Security → Screen Recording
  2. Click the lock icon and authenticate
  3. Add the same applications as above (terminal, Python, UV)
  4. Restart the terminal after granting permissions

Note: If the Snapshot tool fails, verify both permissions are granted in System Settings.

Integration Options

Claude Desktop

  1. Install Claude Desktop
  1. Edit ~/Library/Application Support/Claude/claude_desktop_config.json:
  {

"mcpServers": { "macos-mcp": { "command": "uvx", "args": ["macos-mcp", "serve"] } } }

  1. Restart Claude Desktop

Claude Desktop (connecting to an HTTP server)

Claude Desktop's claude_desktop_config.json only supports stdio-based server entries. To connect to a running macOS-MCP HTTP server (e.g. one started with macos-mcp install --transport streamable-http), use mcp-remote as a stdio-to-HTTP bridge.

This is especially useful when running multiple Claude Desktop instances (e.g. via Parall) — a single persistent HTTP server handles all of them, avoiding the overhead of spawning a separate macos-mcp process per session.

1. Start the HTTP server (one-time setup):

  macos-mcp install --transport streamable-http --host 127.0.0.1 --port 8000

2. Configure Claude Desktop to connect via mcp-remote:

  {

"mcpServers": { "macos-mcp": { "command": "npx", "args": [ "-y", "mcp-remote", "http://127.0.0.1:8000/mcp", "--transport", "http-only" ] } } }

3. Restart Claude Desktop.

If you have multiple Claude Desktop instances (e.g. Parall clones), add the same mcpServers entry to each instance's claude_desktop_config.json. All instances will share the single background server.

A migration script is included for bulk reconfiguration — see scripts/stdio-to-http-reconfig.sh.

With authentication (recommended when binding to 0.0.0.0):

  # Start server with an auth key

macos-mcp install --transport streamable-http --host 0.0.0.0 --port 8000 \ --auth-key "your-secret-token"

  {

"mcpServers": { "macos-mcp": { "command": "npx", "args": [ "-y", "mcp-remote", "http://127.0.0.1:8000/mcp", "--transport", "http-only", "--header", "Authorization: Bearer your-secret-token" ] } } }

Gemini CLI

  1. Install Gemini CLI:
  npm install -g @google/gemini-cli
  1. Navigate to ~/.gemini and open settings.json
  1. Add the server config:
  {

"theme": "Default", "mcpServers": { "macos-mcp": { "command": "uvx", "args": ["macos-mcp", "serve"] } } }

  1. Restart Gemini CLI

Claude Code

  1. Install Claude Code
  1. Add to your project configuration or use the MCP marketplace integration

Pi Agent

Pi does not ship with built-in MCP support, but macOS-MCP can be installed as a Pi package. The package starts this MCP server over stdio and exposes convenient Pi tools that wrap the existing macOS-MCP tools.

One-line global setup:

  pi install git:github.com/CursorTouch/MacOS-MCP

After install, restart Pi or run:

  /reload

Try without installing:

  pi -e git:github.com/CursorTouch/MacOS-MCP

Local checkout setup:

  git clone https://github.com/CursorTouch/MacOS-MCP.git

cd MacOS-MCP uv sync npm install pi

If you copied only the extension into another Pi project, run Pi from the macOS-MCP checkout or set:

  export MACOS_MCP_ROOT=/path/to/MacOS-MCP

The extension exposes these Pi tools:

Pi ToolPurpose
mac_snapshotRead current macOS UI state through the existing Snapshot tool.
mac_appLaunch, switch, move, or resize macOS applications/windows.
mac_clickClick coordinates returned by mac_snapshot.
mac_typeType text at coordinates returned by mac_snapshot.
mac_shortcutRun keyboard shortcuts such as command+c or command+space.
mac_scrollScroll at the current pointer or coordinates.
mac_waitWait for UI changes/loading.

Recommended agent workflow:

  • Call mac_snapshot first.
  • Use the coordinates returned by Snapshot with mac_click, mac_type, and mac_scroll.
  • Use screenshots/vision only when Accessibility data is missing or ambiguous.

The extension auto-detects the macOS-MCP checkout when installed as a Pi package. If you use a manually copied extension, set MACOS_MCP_ROOT=/path/to/MacOS-MCP.

Tau Coding Agent

Tau does not ship with built-in MCP support. This repo includes a project-local Tau extension at .tau/extensions/macos-mcp/ that starts the macOS-MCP server over stdio and exposes Tau-native tools that wrap the existing macOS-MCP tools.

Local checkout setup:

  git clone https://github.com/CursorTouch/MacOS-MCP.git

cd MacOS-MCP uv sync tau

Tau auto-discovers project extensions under .tau/extensions/*/ when run from the checkout, and installs the extension's own dependencies (declared in manifest.json) automatically on first load. If Tau is already running, use /reload.

If you copied only the extension into another Tau project, run Tau from the macOS-MCP checkout or set:

  export MACOS_MCP_ROOT=/path/to/MacOS-MCP

The extension exposes these Tau tools:

Tau ToolPurpose
mac_snapshotRead current macOS UI state through the existing Snapshot tool.
mac_appLaunch, switch, or resize macOS applications/windows.
mac_clickClick coordinates returned by mac_snapshot.
mac_typeType text at coordinates returned by mac_snapshot.
mac_shortcutRun keyboard shortcuts such as command+c or command+space.
mac_scrollScroll at the current pointer or coordinates.

| mac_wait | Wait for UI changes/

Only the beginning is shown; read the rest in the repo

Ask PopNx