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PopNx MCPMCP servers for people who use AI · explained in plain words

Videohub Port

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.CloudCorpRecords/videohub-port

Install

Overview

Description from the maker (original English)

YouTube videos, channels, playlists, comments and transcripts as MCP tools.

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).
  • 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": {
    "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 mcp

Open in Cursor

Or copy the settings yourself

Paste 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.

Open in VS Code

Or copy the settings yourself

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.

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 CloudCorpRecords, 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 2985 servers in this category
  • Published to the registry more recently than 85% of the other 2985 servers in this category
  • Basic checks equal to or better than 100% of the other 2985 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 Videohub Port 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 (0.1.0) reached the registry 5 days 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, Docker 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.

videohub-port

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.

Tools (core subset, 12)

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.

Setup

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.

CLI

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.

MCP client config

{

"mcpServers": { "videohub-port": { "command": "npx", "args": ["-y", "@reneturcios/videohub-port", "mcp"], "env": { "YOUTUBE_API_KEY": "AIza..." } } } }

Docker

docker run -i -e YOUTUBE_API_KEY ghcr.io/cloudcorprecords/videohub-port

Development

npm install

npm run build npm test

License

MIT

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