MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
Cast YouTube videos and media to a Chromecast or DLNA device with catt, and control playback.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
CATT_DEVICE, TV_HOST, ADB_PATHYou need
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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-mcpFill in the empty values before running it.
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.
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.
CATT_DEVICE envTV_HOST envADB_PATH envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account amineutron, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (0.3.0) reached the registry 43 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
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
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
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.
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.
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.
| Outil | Rôle |
|---|---|
cast_youtube | Caste une video YouTube sur la TV (URL ou ID de video) |
cast_url | Caste une URL quelconque (video, audio, stream) sur la TV |
cast_stop | Arrete le cast en cours sur la TV |
cast_pause | Met en pause le cast en cours |
cast_resume | Reprend la lecture du cast |
cast_volume | Regle le volume du cast (0-100) |
cast_seek | Avance ou recule dans la video |
cast_status | Retourne le statut du cast en cours |
cast_scan | Scanne les devices Chromecast/DLNA disponibles sur le reseau |
cast_info | Retourne les infos detaillees du media en cours |
cast_browser | Caste la video de l'onglet actif de Firefox sur la TV (YouTube, Twitch, etc.) |
cast_browser_dual | Lance la video sur PC (Firefox) ET TV simultanement avec synchronisation (pour LightBeat) |
cast_dual_resync | Resynchronise PC et TV en relancant la TV a la position Firefox |
cast_dual_stop | Arrete le dual cast et le watcher de synchronisation |
cast_dual_offset | Ajuste le decalage TV (positif=TV en avance, negatif=TV en retard) |
_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.
pip install cattpip install yt-dlplz4 (optional, for cache compression): pip install lz4cast_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:
hyprctl in PATHplayerctl for MPRIS playback controllz4 (Python) to read Firefox's session cacheWithout them the server starts normally and simply does not expose these five tools, instead of failing when they are called.
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" } } }
pip install mcp catt yt-dlp
catt scan
Note the device name (e.g. 55OLED705/12, Living Room TV).
Copy config.example.yaml to config.yaml:
catt:
device: "55OLED705/12" # Name from catt scan
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.
{
"mcpServers": { "catt": { "command": "python3", "args": ["/path/to/catt-mcp/server.py"], "env": { "CATT_DEVICE": "55OLED705/12" } } } }
MIT
| Dépôt | Rôle |
|---|---|
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| hue-mcp | MCP Philips Hue (fork de ThomasRohde/hue-mcp) |
| pylips-mcp | MCP TV Philips |
| denon-mcp | MCP ampli Denon |
| catt-mcp | MCP Chromecast et DLNA |