Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

Chromecast / DLNA casting (catt)

by amineutronversion 0.3.0i★ –iRuns on your computer
Registry nameio.github.amineutron/catt-mcp

Install

Overview

Description from the maker (original English)

Cast YouTube videos and media to a Chromecast or DLNA device with catt, and control playback.

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: Marketing & social media

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).
  • You fill in yourself: CATT_DEVICE, TV_HOST, ADB_PATH

You need

  • PyPIPython’s uv installed (for the uvx 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": {
    "catt": {
      "command": "uvx",
      "args": [
        "catt-mcp"
      ],
      "env": {
        "CATT_DEVICE": "your-value",
        "TV_HOST": "your-value",
        "ADB_PATH": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add catt --env CATT_DEVICE=your-value --env TV_HOST=your-value --env ADB_PATH=your-value -- uvx catt-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "catt": {
      "command": "uvx",
      "args": [
        "catt-mcp"
      ],
      "env": {
        "CATT_DEVICE": "your-value",
        "TV_HOST": "your-value",
        "ADB_PATH": "your-value"
      }
    }
  }
}

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": {
    "catt": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "catt-mcp"
      ],
      "env": {
        "CATT_DEVICE": "your-value",
        "TV_HOST": "your-value",
        "ADB_PATH": "your-value"
      }
    }
  }
}

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.

Values you fill in

  • CATT_DEVICE env
    Name or IP of the default Chromecast / DLNA device
  • TV_HOST env
    Optional Android TV IP, used to wake the screen over ADB before casting
  • ADB_PATH env
    Path to the adb binary if not on PATH

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 amineutron, 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 Marketing & social mediai

  • More stars than 0% of the other 2987 servers in this category
  • Published to the registry more recently than 40% of the other 2987 servers in this category
  • Basic checks equal to or better than 100% of the other 2987 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 Chromecast / DLNA casting (catt) 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 (0.3.0) reached the registry 43 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

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

An MCP server retrieving transcripts of YouTube videos

Runs on your computer★ 495MITUpdated 10 days ago
Install

GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

Runs on your computer★ 244MITUpdated 10 days ago
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.

catt-mcp

MCP server for casting YouTube videos and media to Chromecast/DLNA devices via catt.

Exposes 15 tools covering YouTube casting, playback control, dual-screen sync, and device discovery.

Demo

Recorded on the real network with docs/demo/record.sh: a minimal MCP client (docs/demo/mcp_demo.py) starts the server over stdio with CATT_DEVICE in the environment, lists the tools and calls cast_scan (read-only). Private IP addresses are replaced with documentation addresses.

Tools

OutilRôle
cast_youtubeCaste une video YouTube sur la TV (URL ou ID de video)
cast_urlCaste une URL quelconque (video, audio, stream) sur la TV
cast_stopArrete le cast en cours sur la TV
cast_pauseMet en pause le cast en cours
cast_resumeReprend la lecture du cast
cast_volumeRegle le volume du cast (0-100)
cast_seekAvance ou recule dans la video
cast_statusRetourne le statut du cast en cours
cast_scanScanne les devices Chromecast/DLNA disponibles sur le reseau
cast_infoRetourne les infos detaillees du media en cours
cast_browserCaste la video de l'onglet actif de Firefox sur la TV (YouTube, Twitch, etc.)
cast_browser_dualLance la video sur PC (Firefox) ET TV simultanement avec synchronisation (pour LightBeat)
cast_dual_resyncResynchronise PC et TV en relancant la TV a la position Firefox
cast_dual_stopArrete le dual cast et le watcher de synchronisation
cast_dual_offsetAjuste le decalage TV (positif=TV en avance, negatif=TV en retard)
YouTube ID extraction

_extract_video_id (URL watch?v=, youtu.be/, shorts/ or a bare 11-character ID, anything else rejected before it reaches catt/ADB) is deliberately duplicated in pylips-mcp (youtube_video, TV app with Premium account). Both servers stay installable on their own; each one tests its copy with the same table of cases (tests/test_youtube_id.py). Decision recorded on 2026-09-20.

Requirements

  • Python 3.10+
  • catt: pip install catt
  • yt-dlp: pip install yt-dlp
  • A Chromecast or DLNA-compatible device on the same network
  • lz4 (optional, for cache compression): pip install lz4
Dual cast (Linux + Hyprland)

cast_browser, cast_browser_dual, cast_dual_resync, cast_dual_stop and cast_dual_offset drive Firefox from the running desktop session. They are advertised only when the required binaries are present:

  • Hyprland with hyprctl in PATH
  • playerctl for MPRIS playback control
  • Firefox holding the video to mirror
  • lz4 (Python) to read Firefox's session cache

Without them the server starts normally and simply does not expose these five tools, instead of failing when they are called.

Installation en une ligne

uvx catt-mcp                 # depuis PyPI ; avant publication : uvx --from git+https://github.com/amineutron/catt-mcp catt-mcp

Configuration Claude Desktop / Claude Code (mcpServers) :

{ "catt": { "command": "uvx", "args": ["catt-mcp"], "env": { "CATT_DEVICE": "Living Room TV" } } }

Setup

1. Install dependencies
pip install mcp catt yt-dlp
2. Discover your device
catt scan

Note the device name (e.g. 55OLED705/12, Living Room TV).

3. Configure

Copy config.example.yaml to config.yaml:

catt:

device: "55OLED705/12" # Name from catt scan

4. Run
catt-mcp                      # installed (pip, uvx) ; `catt-mcp --help` lists the settings

python -m catt_mcp # same thing, from any environment where the package is installed python server.py # from a clone, without installing (thin launcher, code in catt_mcp/)

Or with environment variable:

CATT_DEVICE="55OLED705/12" catt-mcp

The code lives in the catt_mcp package (catt_mcp/server.py, catt_mcp/sync_watcher.py), so it can be installed next to other MCP servers without module name clashes.

The dual-screen tools (dual_cast, dual_resync, dual_offset) drive the TV through ADB and need its IP address. Set it with TV_HOST (or tv.host in config.yaml), for example TV_HOST="192.0.2.10"; the built-in default is only a placeholder.

Claude Desktop Configuration

{

"mcpServers": { "catt": { "command": "python3", "args": ["/path/to/catt-mcp/server.py"], "env": { "CATT_DEVICE": "55OLED705/12" } } } }

License

MIT

Part of the Lyra ecosystem

DépôtRôle
lyraassistant DevOps vocal, local par défaut (AGPL-3.0)
fedora-agentsMCP : machines virtuelles KVM et sauvegardes
mcp-trackingMCP + API + tableau de bord des tâches longues
neutroncorehub PWA du homelab
hue-mcpMCP Philips Hue (fork de ThomasRohde/hue-mcp)
pylips-mcpMCP TV Philips
denon-mcpMCP ampli Denon
catt-mcpMCP Chromecast et DLNA
Ask PopNx