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

youtube-kit

by eukoshversion 0.7.3i★ –iRuns on your computer
Registry nameio.github.eukosh/youtube-kit

Install

Overview

Description from the maker (original English)

YouTube CLI and MCP server: search and read public YouTube, and manage your own channels.

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
  • You need to fill in: YOUTUBE_API_KEY

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: YOUTUBE_CHANNEL, YOUTUBE_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

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": {
    "youtube-kit": {
      "command": "uvx",
      "args": [
        "youtube-kit",
        "mcp"
      ],
      "env": {
        "YOUTUBE_CHANNEL": "your-value",
        "YOUTUBE_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add youtube-kit --env YOUTUBE_CHANNEL=your-value --env YOUTUBE_API_KEY=your-value -- uvx youtube-kit 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": {
    "youtube-kit": {
      "command": "uvx",
      "args": [
        "youtube-kit",
        "mcp"
      ],
      "env": {
        "YOUTUBE_CHANNEL": "your-value",
        "YOUTUBE_API_KEY": "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": {
    "youtube-kit": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "youtube-kit",
        "mcp"
      ],
      "env": {
        "YOUTUBE_CHANNEL": "your-value",
        "YOUTUBE_API_KEY": "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

  • YOUTUBE_CHANNEL env
    Channel to work on by default (UC... ID, @handle or exact title), from the ones logged in with `ytk auth login`
  • YOUTUBE_API_KEY secret env
    API key for public data; without one, public reads go through your login

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 eukosh, 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 73% 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 youtube-kit 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?

You need to fill in: YOUTUBE_API_KEY

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 (0.7.3) reached the registry 12 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
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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.

youtube-kit

YouTube CLI (ytk) and MCP server, built for agents and humans. Let Claude Code, Codex, Cursor, Claude Desktop or ChatGPT work on your channel: analytics, transcripts, uploads, metadata, playlists and comment moderation. It handles several channels, and you can run the same commands in your own terminal.

Quick start

uv tool install youtube-kit

ytk auth login # one-time Google Cloud setup, then pick your channel

You need a Google account with a YouTube channel, and uv (brew install uv on macOS). The first ytk auth login takes about 5 minutes: it opens each Google Cloud page, says what to click and picks up the file you download.

ytk analytics --by video --since 90d --limit 5     # your top videos of the last 90 days

ytk comment list --status held # comments waiting for review ytk caption transcript VIDEO | jq -r .text # what you say in one of your videos ytk channel get @mkbhd | jq .stats # any public channel

Or ask your agent: *"Which of my videos got the most views this month, and are any comments waiting for review?"*

Use it from your agent

Skill: Claude Code, Codex, Cursor and other shell agents

A short skill teaches the agent the CLI. It loads only when a YouTube task comes up.

claude plugin install youtube-kit --marketplace eukosh/youtube-kit   # Claude Code

codex plugin marketplace add eukosh/youtube-kit # Codex, then: codex plugin add youtube-kit@youtube-kit npx skills add eukosh/youtube-kit -g # Cursor and others

The plugins follow ytk releases. Codex updates them at startup; Claude Code does once you turn on auto-update under /plugin → Marketplaces. With npx skills, run npx skills update.

MCP: Claude Desktop, ChatGPT and other MCP clients

ytk mcp serves the same operations as tools. In Claude Code:

claude mcp add youtube -- uvx youtube-kit mcp

In clients configured with JSON (Claude Desktop, Cursor and others):

{

"mcpServers": { "youtube": { "command": "uvx", "args": ["youtube-kit", "mcp"] } } }

In the ChatGPT desktop app: Settings → MCP servers → Add server → STDIO, with the command uvx youtube-kit mcp. Codex shares that setting (codex mcp add youtube -- uvx youtube-kit mcp).

The server uses your ytk auth login logins. If you also installed ytk with uv tool install, uvx runs that installed version: ytk upgrade updates both. Restart the MCP client afterwards. Not set up yet? The model can walk you through it with the setup_guide tool.

What it covers

AreaOperations
Analyticstotals, or breakdowns by day, month, video, country, device, OS, traffic source and what's behind it (search terms, suggesting videos, sites), playback location, age, gender, subscribed status, content type (long-form, Shorts, live) or sharing service; audience retention of a video; filters by video, content type, country or traffic source
Impressionsthumbnail impressions and click-through rate, in total, by day or by video
Videosget, categories, upload (resumable, with progress), update metadata, set thumbnail, wait for processing, like or dislike, check your rating, delete
Captionstranscripts of your videos, from your captions or YouTube's automatic ones, optionally machine-translated; list tracks on any video; upload, replace, hide, delete
Commentslist (published, held for review, likely spam), replies, post, reply, edit, delete, approve, hold, reject, ban the author
Playlistslist, get, items, create, update, set image, add, remove, move, delete
Channelget, recent activity, your logged-in channels, about info (description, keywords, country, language, trailer), banner, watermark, home page sections
Searchvideos, channels and playlists, filtered by channel or date
Subscriptionslist, subscribe, unsubscribe

Not covered: localizations, live streaming and channel memberships. ytk --help lists every command, and the skill fits them on one page with jq recipes.

Channels and login

ytk auth login connects one channel. Run it again for each of your other channels, including brand channels: pick the one you want when Google asks.

ytk channel mine                                           # your channels; one is the default

ytk auth switch @second # change the default ytk video upload clip.mp4 --title Hi --my-channel @third # use another channel for one command ytk auth logout @third

Commands work on the default channel unless --my-channel names another, by UC… ID, @handle or exact title. MCP tools take my_channel the same way, so you can say "upload this to my gaming channel". YOUTUBE_CHANNEL sets the default for one shell or one MCP server.

Why your own Google Cloud client. YouTube's daily quota of 10,000 units belongs to a Cloud project. A client shipped inside ytk would split one quota among all its users. Yours is shared by your channels only.

Let an agent set it up. ytk auth guide (setup_guide over MCP) lists what's left, with links and the values to enter. With the gcloud CLI signed in, the agent can create the project and enable the APIs for you. The rest needs your browser. Already have the client JSON? Run ytk auth login --client-secrets FILE.

Manual setup, files and environment variables

The guided setup does this:

  1. In the Google Cloud Console, create a project and enable YouTube Data API v3, YouTube Analytics API and YouTube Reporting API (for impressions and click-through rate).
  2. In Google Auth Platform, click *Get started* (audience *External*). On *Branding*, fill in the home page (https://github.com/eukosh/youtube-kit), the privacy policy link (https://github.com/eukosh/youtube-kit/blob/main/PRIVACY.md) and the authorized domain github.com; Google won't publish without them. Then on *Audience* click *Publish app*. While the app is in *Testing*, only listed test users can sign in and Google logs them out after 7 days.
  3. Under *Clients*, create a client of type *Desktop app* and download its JSON.
  4. ytk auth login --client-secrets path/to/client_secret.json. Google warns that it hasn't verified the app: it's your own, so click *Advanced*, then *Go to ytk (unsafe)*.

Public data (search, videos, channels, playlists, comments) also works with just an API key: create one in the same project and export YOUTUBE_API_KEY=..., or put it in the MCP server's env. Without a key, ytk reads public data through your login.

ytk remembers each channel's handle from when you logged in. After renaming a channel on YouTube, name it by its UC… ID or run ytk auth login for it again.

Credentials and config.toml live in the user config directory (~/Library/Application Support/youtube-kit/ on macOS, ~/.config/youtube-kit/ on Linux). ytk auth status prints the exact paths. These environment variables override them:

VariablePurpose
YOUTUBE_API_KEYAPI key for public data
YOUTUBE_CLIENT_SECRETSPath to the OAuth client JSON
YOUTUBE_TOKEN_DIRDirectory of stored logins, one file per channel
YOUTUBE_CHANNELChannel to work on by default (UC… ID, @handle or exact title), overriding ytk auth switch
YOUTUBE_CONFIG_FILEPath to config.toml (delete limits, update check)
YTK_NO_UPDATE_CHECKSet (even empty): no daily check for a newer release

Built for agents

  • JSON out, exit codes for failures. Every command prints one JSON document on stdout. On failure, stdout stays empty, the last line of stderr is {"error": {"type": "not_found", "message": "..."}}, and the exit code names the type: 2 bad input, 3 not found, 4 not authorized, 5 quota exceeded, 6 forbidden, 7 network, 8 confirmation required, 9 protected, 10 timeout, 1 anything else. The skill tells agents what to do about each. At a terminal you get colored JSON and plain-sentence errors.
  • Forgiving inputs. Pass IDs or pasted YouTube URLs, @handles for channels, and dates or spans like 90d.
  • Quota costs up front. Each command's --help and each MCP tool description states what it spends.
  • One core. The CLI and the MCP server are thin layers over the same code, and a test fails if either misses an operation.
  • Guarded deletes. See below.
  • Update notices. ytk checks PyPI once a day in the background and tells you when a newer release is out: after the output at a terminal, as an {"update": ...} stderr line for agents, and in the MCP server's instructions at startup. ytk upgrade installs it. Turn the check off with check = false under [updates] in config.toml or YTK_NO_UPDATE_CHECK=1; it's also off when CI or NO_UPDATE_NOTIFIER is set.

Deleting

YouTube has no trash, and agents make mistakes. So deleting videos, playlists, comments and caption tracks is guarded:

  • Two steps. The first call deletes nothing. At a terminal you get a [y/N] prompt. An agent gets exit 8 with a description of the target and must run the command again with --confirm , so the approval always names the exact thing being deleted.
  • Damage limit. A video with more than 100 views, or one that is public and was uploaded more than 7 days ago, can't be deleted here at all (exit 9). Delete those in YouTube Studio. The limits live in config.toml (ytk auth status shows where):
  [delete_protection]

max_views = 100 max_public_age_days = 7

- **Harness approval.** Have your agent ask you before every delete. In Claude Code, add this to `.claude/settings.json`:
  {"permissions": {"ask": ["Bash(ytk video delete:*)", "Bash(ytk playlist delete:*)", "Bash(ytk comment delete:*)", "Bash(ytk caption delete:*)"]}}
  • Idempotent. Deleting something that is already gone succeeds with "already_gone": true.

This stops mistakes, not a determined agent. Anything holding your OAuth token can call the API directly.

Quota

Google gives each Cloud project 10,000 units a day, resetting at midnight Pacific time. Reads cost 1 unit per request, most writes 50, and guarded deletes 52, or 102 for a caption track (they look up the target and check ownership first). search and uploads don't use those units: each gets its own 100 calls a day, one per page of 50 search results or per upload. ytk analytics and ytk impressions use the separate YouTube Analytics and Reporting API quotas.

Contributing

See [CONTRIBUTING.md](https://github.com/eu

Only the beginning is shown; read the rest in the repo

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