Displaybuddy Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Displaybuddy Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
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.
Add to your claude_desktop_config.json:
{
"mcpServers": {
"displaybuddy": {
"command": "npx",
"args": ["-y", "displaybuddy-mcp"]
}
}
}Add to your MCP settings:
{
"mcpServers": {
"displaybuddy": {
"command": "npx",
"args": ["-y", "displaybuddy-mcp"]
}
}
}npx -y @smithery/cli install displaybuddy-mcp --client claude| 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 |
Once connected, you can ask your AI assistant things like:
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 Monitorsnpm install
npm run build
# Test with MCP Inspector
npx -y @modelcontextprotocol/inspector node ./build/index.jsMIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.