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biocross

displaybuddy-mcp

by biocross

DisplayBuddy MCP Server

An MCP (Model Context Protocol) server that lets AI agents control Mac monitors via DisplayBuddy — adjust brightness, contrast, volume, input source, apply presets, sync displays, and more.

Works with Claude Desktop, Cursor, Windsurf, Cline, and any MCP-compatible client.

Prerequisites

  1. macOS with DisplayBuddy installed and running

  2. DisplayBuddy CLI installed: open DisplayBuddy > Settings > General > Install CLI Tool

  3. Node.js 18+

Related MCP server: Playwright MCP for macOS

Installation

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "displaybuddy": {
      "command": "npx",
      "args": ["-y", "displaybuddy-mcp"]
    }
  }
}

Cursor

Add to your MCP settings:

{
  "mcpServers": {
    "displaybuddy": {
      "command": "npx",
      "args": ["-y", "displaybuddy-mcp"]
    }
  }
}

Smithery

npx -y @smithery/cli install displaybuddy-mcp --client claude

Available Tools

Tool

Description

displaybuddy_status

Quick overview of all displays (call this first)

displaybuddy_list

Full display details including UUID, type, capabilities

displaybuddy_get

Get properties of a specific display

displaybuddy_set

Set brightness, contrast, volume, input, rotation

displaybuddy_preset_list

List saved presets

displaybuddy_preset_activate

Activate a preset (with optional delay)

displaybuddy_schedule_list

List automation schedules

displaybuddy_schedule_toggle

Enable or disable a schedule

displaybuddy_sync

Check/enable/disable multi-display sync

Example Prompts

Once connected, you can ask your AI assistant things like:

  • "Dim all my monitors to 30%"

  • "What displays are connected?"

  • "Switch my Dell monitor to HDMI"

  • "Activate my Night Mode preset"

  • "Sync all displays to my main monitor"

  • "Turn up the brightness on my external display"

  • "Set up my coding environment — brightness 70, contrast 60"

How It Works

The MCP server wraps the displaybuddy CLI, which communicates with the running DisplayBuddy app via URL scheme. All operations are local — no data leaves your machine.

AI Agent → MCP Server → displaybuddy CLI → DisplayBuddy App → Your Monitors

Development

npm install
npm run build

# Test with MCP Inspector
npx -y @modelcontextprotocol/inspector node ./build/index.js

License

MIT

Install Server
A
license - permissive license
A
quality
D
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

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