Displaybuddy MCP

MCP server for controlling Mac monitors via DisplayBuddy — adjust brightness and more.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

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

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

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

macOS with DisplayBuddy installed and running
DisplayBuddy CLI installed: open DisplayBuddy > Settings > General > Install CLI Tool
Node.js 18+

Installation

Claude Desktop

Add to your claude_desktop_config.json:

config.json

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

Cursor

Add to your MCP settings:

config.json

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

Smithery

Terminal

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.

Code

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

Development

Terminal

npm install
npm run build

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

License

MIT

Read the full README →View source on GitHub →

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Frequently Asked Questions about Displaybuddy MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "displaybuddy-mcp": { "command": "npx", "args": ["-y", "displaybuddy-mcp"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

27Quality signal: Emerging · 27/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20

Documentation & tools11/30

Adoption & activity1/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Displaybuddy MCP →Install in Claude Desktop Install in Cursor Install in VS Code

Documentation Overview

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

macOS with DisplayBuddy installed and running
DisplayBuddy CLI installed: open DisplayBuddy > Settings > General > Install CLI Tool
Node.js 18+

Installation

Claude Desktop

Add to your claude_desktop_config.json:

config.json

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

Cursor

Add to your MCP settings:

config.json

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

Smithery

Terminal

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.

Code

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

Development

Terminal

npm install
npm run build

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

License

MIT