MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
YouTube videos, channels, playlists, comments and transcripts as MCP tools.
These three are never merged into one score: opinions, measurements and popularity are different things.
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.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"videohub-port": {
"command": "npx",
"args": [
"-y",
"@reneturcios/videohub-port",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add videohub-port -- npx -y @reneturcios/videohub-port mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"videohub-port": {
"command": "npx",
"args": [
"-y",
"@reneturcios/videohub-port",
"mcp"
]
}
}
}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": {
"videohub-port": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/videohub-port",
"mcp"
]
}
}
}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.
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These 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 CloudCorpRecords, 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 (0.1.0) reached the registry 5 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker 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.
YouTube videos, channels and playlists as MCP tools, talking to the YouTube Data API v3. videohub-port is a clean-room rebuild of the core surface of the community YouTube MCP servers, under a new name: fresh code, no copied branding.
Auth model: TOKEN/KEY-ENV ONLY. Public reads use the YouTube Data API v3 with YOUTUBE_API_KEY sent as the key query parameter. The community originals' OAuth flow (for uploads, subscriptions writes and my-channel management) is NOT reproduced — there are no write tools in this subset.
search_videos, get_video, list_video_comments, get_channel, search_channels, list_playlists, get_playlist, list_playlist_items, get_video_transcript, list_channel_videos, get_video_categories, get_trending_videos.
The transcript tool is simplified: it is not a Data API call. It fetches the public timedtext endpoint with fmt=json3 for the requested language track directly (no caption-track listing/selection, no key parameter) and joins the json3 events into plain text; when no track is available it returns an honest "no caption track available" error and never invents text.
Not in this subset: the OAuth flow and all writes (uploads, playlist create/edit, subscriptions, likes/ratings, comments posting), my-channel/subscriptions reads requiring OAuth, live streaming, video insert/update/delete, channel sections/branding, i18n depth beyond categories/trending region, the analytics API, and captions download in srt/vtt formats or caption-track listing.
Create an API key in the Google Cloud console (YouTube Data API v3 enabled) and set it:
export YOUTUBE_API_KEY=AIza...
Optionally override the API base with YOUTUBE_API_BASE_URL (default https://www.googleapis.com/youtube/v3) and the transcript base with YOUTUBE_TIMEDTEXT_BASE_URL (default https://www.youtube.com/api/timedtext). Every Data API request carries Accept: application/json and the key as the key query parameter (no Authorization header). Without the key, every tool call fails with an error naming the missing variable.
npx @reneturcios/videohub-port search_videos '{"query":"lo fi"}'
npx @reneturcios/videohub-port mcp # stdio MCP server
Each tool name is a subcommand taking one JSON object argument.
{
"mcpServers": { "videohub-port": { "command": "npx", "args": ["-y", "@reneturcios/videohub-port", "mcp"], "env": { "YOUTUBE_API_KEY": "AIza..." } } } }
docker run -i -e YOUTUBE_API_KEY ghcr.io/cloudcorprecords/videohub-port
npm install
npm run build npm test
MIT