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DDC/CI Control Bridge

by Defozoversion 1.0.5i★ –iRuns on your computer
Registry nameio.github.Defozo/ddc-ci-control-bridge

Install

Overview

Description from the maker (original English)

Control monitor brightness, contrast, power and input via DDC/CI with MCP and MQTT support.

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

  • npmNode.js installed (for the npx 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": {
    "ddc-ci-control-bridge": {
      "command": "npx",
      "args": [
        "-y",
        "ddc-ci-control-bridge"
      ]
    }
  }
}

Run this in your terminal

claude mcp add ddc-ci-control-bridge -- npx -y ddc-ci-control-bridge

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "ddc-ci-control-bridge": {
      "command": "npx",
      "args": [
        "-y",
        "ddc-ci-control-bridge"
      ]
    }
  }
}

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": {
    "ddc-ci-control-bridge": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "ddc-ci-control-bridge"
      ]
    }
  }
}

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 Defozo, 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 18333 servers in this category
  • Published to the registry more recently than 0% of the other 18333 servers in this category
  • Basic checks equal to or better than 100% of the other 18333 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 DDC/CI Control Bridge 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 (1.0.5) reached the registry 13 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

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

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
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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

Signoff

by ayuanxx-max

Five gates that make an agent's 'done' provable: run them, read the verdict, audit the record.

Runs on your computerUpdated 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.

DDC/CI Control Bridge

Multi-protocol server for DDC/CI monitor control with MCP and MQTT support.

Features

  • DDC/CI Monitor Control: Read and write VCP codes to control monitor brightness, contrast, input source, and more
  • Model Context Protocol (MCP): Server with resources and tools for AI/agent integration
  • MQTT Client: Connect to any MQTT broker for IoT/automation platforms
  • Home Assistant auto-discovery support
  • Generic MQTT pub/sub for custom integrations
  • Cross-Platform: Works on Windows, Linux, and macOS
  • Dual Distribution: Available as standalone executable or npm package

Quick Start

Installation

Option 1: NPM Package (Global)

npm install -g ddc-ci-control-bridge

ddc-ci-bridge

Option 2: NPX (No Install)

npx ddc-ci-control-bridge

Option 3: Standalone Executable

Download the binary for your platform from GitHub Releases:

  • Windows: ddc-ci-bridge-win.exe
  • Linux: ddc-ci-bridge-linux
  • macOS: ddc-ci-bridge-macos

⚠️ Note: The executable requires DDC_API_KEY environment variable to be set, or it will exit immediately.

Windows:

# Set API key (required)

set DDC_API_KEY=your-secret-key

Run the executable

ddc-ci-bridge-win.exe

Or set multiple environment variables

set DDC_API_KEY=your-secret-key set MQTT_ENABLED=true set MQTT_HOST=192.168.1.100 ddc-ci-bridge-win.exe

Linux/macOS:

# Make executable (first time only)

chmod +x ddc-ci-bridge-linux # or ddc-ci-bridge-macos

Run with API key (required)

DDC_API_KEY=your-secret-key ./ddc-ci-bridge-linux

Or with multiple environment variables

DDC_API_KEY=your-secret-key MQTT_ENABLED=true MQTT_HOST=192.168.1.100 ./ddc-ci-bridge-linux

Using with MCP Clients:

Configure your MCP client to use the executable path:

{

"mcpServers": { "ddc-ci-bridge": { "command": "C:\\path\\to\\ddc-ci-bridge-win.exe", "args": [], "env": { "MQTT_ENABLED": "false" } } } }

MCP Client Setup

Choose between Local (stdio) or Remote (HTTP) setup depending on your needs:

  • Local Setup: Run MCP server on the same machine as your monitors (recommended for most users)
  • Remote Setup: Run MCP server on a monitor-connected machine, access from other devices

🖥️ Local Setup (stdio - Same Machine)

Use this if your MCP client is on the same machine as your monitors.

Install in Cursor (Local)

Go to: Settings → Cursor Settings → MCP → Add new global MCP server

Or paste the following configuration into your ~/.cursor/mcp.json file:

{

"mcpServers": { "ddc-ci-bridge": { "command": "npx", "args": ["-y", "ddc-ci-control-bridge"], "env": { "MQTT_ENABLED": "false", "MQTT_HOST": "localhost", "MQTT_PORT": "1883" } } } }

Optional MQTT: Set MQTT_ENABLED=true and configure MQTT_HOST to your MQTT broker IP for automation platform integration.

Install in VS Code (Local)

Add this to your VS Code MCP config file:

"mcp": {

"servers": { "ddc-ci-bridge": { "type": "stdio", "command": "npx", "args": ["-y", "ddc-ci-control-bridge"], "env": { "MQTT_ENABLED": "false" } } } }

Install in Claude Desktop (Local)

Open Claude Desktop developer settings and edit your claude_desktop_config.json file:

{

"mcpServers": { "ddc-ci-bridge": { "command": "npx", "args": ["-y", "ddc-ci-control-bridge"], "env": { "MQTT_ENABLED": "false" } } } }

Install in Claude Code (Local)

Run this command:

claude mcp add ddc-ci-bridge -- npx -y ddc-ci-control-bridge

Install in Windsurf (Local)

Add this to your Windsurf MCP config file:

{

"mcpServers": { "ddc-ci-bridge": { "command": "npx", "args": ["-y", "ddc-ci-control-bridge"], "env": { "MQTT_ENABLED": "false" } } } }

Install in Cline (Local)

Add this to your Cline MCP configuration:

{

"mcpServers": { "ddc-ci-bridge": { "command": "npx", "args": ["-y", "ddc-ci-control-bridge"], "env": { "MQTT_ENABLED": "false" } } } }

Install in Zed (Local)

Add this to your Zed settings.json:

{

"context_servers": { "DDC/CI Bridge": { "source": "custom", "command": "npx", "args": ["-y", "ddc-ci-control-bridge"], "env": { "MQTT_ENABLED": "false" } } } }

Install in Roo Code (Local)

Add this to your Roo Code MCP configuration:

{

"mcpServers": { "ddc-ci-bridge": { "command": "npx", "args": ["-y", "ddc-ci-control-bridge"], "env": { "MQTT_ENABLED": "false" } } } }

Install in Augment Code (Local)

Option A: Using the UI

  1. Click the hamburger menu
  2. Select Settings
  3. Navigate to Tools section
  4. Click + Add MCP button
  5. Enter command: npx -y ddc-ci-control-bridge
  6. Name: DDC/CI Bridge
  7. Click Add

Option B: Manual Configuration

Add to settings.json:

"augment.advanced": {

"mcpServers": [ { "name": "ddc-ci-bridge", "command": "npx", "args": ["-y", "ddc-ci-control-bridge"], "env": { "MQTT_ENABLED": "false" } } ] }

Install in JetBrains AI Assistant (Local)

  1. Go to Settings → Tools → AI Assistant → Model Context Protocol (MCP)
  2. Click + Add
  3. Select As JSON from the dropdown
  4. Add this configuration:
{

"mcpServers": { "ddc-ci-bridge": { "command": "npx", "args": ["-y", "ddc-ci-control-bridge"], "env": { "MQTT_ENABLED": "false" } } } }

  1. Click Apply to save changes

Install in Warp (Local)

  1. Navigate Settings → AI → Manage MCP servers
  2. Click + Add button
  3. Paste this configuration:
{

"DDC/CI Bridge": { "command": "npx", "args": ["-y", "ddc-ci-control-bridge"], "env": { "FASTMCP_API_KEY": "your-api-key-here", "MQTT_ENABLED": "false" }, "working_directory": null, "start_on_launch": true } }

  1. Click Save

Install in OpenAI Codex (Local)

Add to your Codex MCP configuration:

[mcp_servers.ddc-ci-bridge]

command = "npx" args = ["-y", "ddc-ci-control-bridge"]

[mcp_servers.ddc-ci-bridge.env] MQTT_ENABLED = "false"

Windows Users: Use full paths if you encounter timeout errors:

[mcp_servers.ddc-ci-bridge]

command = "cmd" args = ["/c", "npx", "-y", "ddc-ci-control-bridge"] startup_timeout_ms = 20_000

[mcp_servers.ddc-ci-bridge.env] SystemRoot = "C:\\Windows" FASTMCP_API_KEY = "your-api-key-here" MQTT_ENABLED = "false"

Install in LM Studio (Local)

  1. Navigate to Program (right side) → Install → Edit mcp.json
  2. Add this configuration:
{

"mcpServers": { "DDC/CI Bridge": { "command": "npx", "args": ["-y", "ddc-ci-control-bridge"], "env": { "MQTT_ENABLED": "false" } } } }

  1. Click Save
  2. Toggle the MCP server on/off from the right side panel

Install in Qodo Gen (Local)

  1. Open Qodo Gen chat panel in VSCode or IntelliJ
  2. Click Connect more tools
  3. Click + Add new MCP
  4. Add this configuration:
{

"mcpServers": { "ddc-ci-bridge": { "command": "npx", "args": ["-y", "ddc-ci-control-bridge"], "env": { "MQTT_ENABLED": "false" } } } }

Install in Perplexity Desktop (Local)

  1. Navigate Perplexity → Settings
  2. Select Connectors
  3. Click Add Connector
  4. Select Advanced
  5. Enter Server Name: DDC/CI Bridge
  6. Paste this JSON:
{

"command": "npx", "args": ["-y", "ddc-ci-control-bridge"], "env": { "FASTMCP_API_KEY": "your-api-key-here", "MQTT_ENABLED": "false" } }

  1. Click Save

Install in Kiro (Local)

  1. Navigate Kiro → MCP Servers
  2. Click + Add button
  3. Paste this configuration:
{

"mcpServers": { "DDC/CI Bridge": { "command": "npx", "args": ["-y", "ddc-ci-control-bridge"], "env": { "MQTT_ENABLED": "false" }, "disabled": false, "autoApprove": [] } } }

  1. Click Save

Install in BoltAI (Local)

  1. Open Settings → Plugins
  2. Enter this JSON:
{

"mcpServers": { "ddc-ci-bridge": { "command": "npx", "args": ["-y", "ddc-ci-control-bridge"], "env": { "MQTT_ENABLED": "false" } } } }

  1. Save and restart if needed

Install in Zencoder (Local)

  1. Go to Zencoder menu (...)
  2. Select Agent tools
  3. Click Add custom MCP
  4. Add name and server configuration:
{

"command": "npx", "args": ["-y", "ddc-ci-control-bridge"], "env": { "FASTMCP_API_KEY": "your-api-key-here", "MQTT_ENABLED": "false" } }

  1. Click Install

Install in Amazon Q Developer CLI (Local)

Add to your Amazon Q configuration:

{

"mcpServers": { "ddc-ci-bridge": { "command": "npx", "args": ["-y", "ddc-ci-control-bridge"], "env": { "MQTT_ENABLED": "false" } } } }

Using Bun or Deno

Bun:

{

"mcpServers": { "ddc-ci-bridge": { "command": "bunx", "args": ["-y", "ddc-ci-control-bridge"], "env": { "MQTT_ENABLED": "false" } } } }

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