macos-automator-mcp

macos-automator-mcp

Lets MCP clients discover and run AppleScript or JavaScript for Automation (JXA) to control macOS applications, inspect the system, or reuse scripts from a bundled knowledge base.

Category
Visit Server

README

macOS Automator MCP 🤖 — Give your agent a Mac to operate

macOS Automator MCP

CI npm Node.js macOS License

macOS Automator MCP is a Model Context Protocol server that lets MCP clients discover and run AppleScript or JavaScript for Automation (JXA). It is for agents that need to control macOS applications, inspect the system, or reuse scripts from a bundled knowledge base.

Install

You need macOS and Node.js 24 or newer. Add the server to your MCP client's configuration; npx downloads the current npm release when the client starts it.

{
  "mcpServers": {
    "macos_automator": {
      "command": "npx",
      "args": ["-y", "--package", "@steipete/macos-automator-mcp", "macos-automator-mcp"]
    }
  }
}

If your client has a separate package field, use @steipete/macos-automator-mcp without @latest.

Quick start

Restart your MCP client after adding the configuration. First, ask it to call get_scripting_tips with a small search:

{
  "search_term": "Safari front tab URL",
  "limit": 3
}

Then verify script execution with a read-only inline script through execute_script:

{
  "script_content": "return \"Hello from macOS Automator\""
}

The result is Hello from macOS Automator. Calls that control applications or the user interface may prompt for macOS permissions.

Tools

Tool Purpose
get_scripting_tips List knowledge-base categories or search for AppleScript and JXA tips.
execute_script Run one inline script, script file, or knowledge-base script ID.

Use get_scripting_tips before writing a script from scratch. A returned runnable ID can be passed to execute_script as kb_script_id; scripts with placeholders accept named input_data or positional arguments.

execute_script runs with the privileges of the process hosting the MCP server. Only run scripts you trust, and inspect generated scripts before allowing destructive actions. See the tool reference for every input and response option.

Permissions

The application that launches the MCP server—such as Terminal, an editor, or a desktop MCP client—owns its macOS privacy permissions:

  • Grant Automation access when scripts control Finder, Safari, Mail, or another application.
  • Grant Accessibility access when scripts use System Events for clicks, keystrokes, menus, or other UI scripting.

macOS may show a first-use prompt for each target application. The server cannot grant these permissions itself. See configuration and permissions for setup and common error codes.

Knowledge base

The package includes hundreds of AppleScript and JXA tips covering system tasks, files, browsers, terminals, productivity apps, developer tools, and UI automation. Search by keyword or category, then execute a result by its runnable ID.

A local knowledge base can add or override bundled tips without changing the package. It defaults to ~/.macos-automator/knowledge_base; see configuration and permissions for its layout and override rules.

Configuration

Variable Values Default
LOG_LEVEL DEBUG, INFO, WARN, ERROR INFO
KB_PARSING lazy, eager lazy
LOCAL_KB_PATH Absolute path to a custom knowledge base ~/.macos-automator/knowledge_base

lazy loads the knowledge base on first use; eager loads it at server startup. More detail is in configuration and permissions.

Troubleshooting

  • Permission errors such as -1743 or -10004 usually mean the host application needs Automation or Accessibility access.
  • Script syntax errors are easiest to isolate with include_executed_script_in_output and include_substitution_logs, then reproduce in Script Editor.
  • Use an absolute POSIX path with script_path, and raise timeout_seconds for scripts that legitimately need more than 60 seconds.
  • JXA normally works best with output_format_mode: "direct"; the default auto mode selects it for JXA.

See Debugging AppleScript and JXA for a longer diagnostic guide.

Development

pnpm install
pnpm run build
pnpm test
pnpm run lint
pnpm run validate

The repository uses pnpm 11 and Node.js 24. The development guide covers local server setup and knowledge-base contributions.

Community

Report bugs and propose scripts in GitHub Issues.

<a href="https://glama.ai/mcp/servers/@steipete/macos-automator-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@steipete/macos-automator-mcp/badge" alt="macOS Automator MCP server on Glama" /> </a>

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured