yt-studio-mcp
Manage a YouTube channel through official Google APIs — videos, comments, playlists, live broadcasts, captions, and analytics — plus an auditable giveaway suite for comment-entry giveaways with deterministic winner drawing.
README
yt-studio-mcp
An MCP (Model Context Protocol) server for managing a YouTube channel through the official Google APIs — videos, comments and moderation, playlists, live broadcasts, captions, analytics — plus an auditable giveaway suite for running comment-entry giveaways with deterministic, independently verifiable winner drawing.
- Official APIs only (YouTube Data v3 + YouTube Analytics v2). No scraping.
- Every mutating tool accepts
dry_run=trueand returns a preview instead of writing. - No secrets in this repo, in logs, or in your MCP client config.
Quick start
1. Create Google credentials (~5 minutes, one time)
- Go to console.cloud.google.com, create a project.
- APIs & Services → Library: enable YouTube Data API v3 and YouTube Analytics API.
- APIs & Services → OAuth consent screen: External, add yourself as a test user.
- APIs & Services → Credentials → Create credentials → OAuth client ID → Desktop app;
download the JSON as
client_secret.json.
2. Authorize your channel
uvx yt-studio-mcp auth --client-secret /path/to/client_secret.json
A browser opens — sign in and pick the channel (Brand Accounts appear as separate choices). The refresh token is stored locally (see Secret storage).
3. Connect your MCP client
# Claude Code
claude mcp add yt-studio -s user -- uvx yt-studio-mcp
Tools
| Area | Tools |
|---|---|
| Channel/videos | channel_info, list_videos, get_video, update_video, set_thumbnail, upload_video, delete_video |
| Playlists | list_playlists, create_playlist, delete_playlist, add_to_playlist, remove_from_playlist, list_playlist_items |
| Comments | list_comments, post_video_question, reply_to_comment, moderate_comment, mark_spam, delete_comment |
| Live | list_broadcasts, create_broadcast, list_streams, bind_broadcast, live_chat_messages, post_chat_message, delete_chat_message, ban_chat_user |
| Captions | list_captions, upload_caption, download_caption |
| Analytics | channel_report, video_report, top_videos |
| Giveaways | collect_entries, draw_winners, make_verification_code, check_verification_reply, post_winner_reply |
| Meta | quota_status, health_check |
Known API limitations (documented, not bugs): comments cannot be pinned via
the API (post_video_question reminds you to pin manually in Studio), and
Community-tab posts have no public API.
Running a giveaway
The giveaway suite implements a common official-rules pattern: comment on any video during the entry window; each distinct video counts as one entry, capped per person; winners drawn at random.
1. collect_entries(start="2026-01-01T00:00:00Z", end="2026-01-31T23:59:59Z",
max_entries_per_user=5, exclude_channel_ids=[...])
→ walks every upload's comments, derives entries, writes a snapshot
file and returns its SHA-256 entry hash. Announce the hash if you
want third-party verifiability.
2. draw_winners(snapshot_path, n=5, seed="any-public-string")
→ deterministic: a seeded shuffle over the canonically sorted entries,
first n distinct channels win. Anyone with the snapshot + seed can
re-run the draw and get identical winners. Records an audit file.
Screen-record this step for extra transparency.
3. make_verification_code(audit_path, winner_channel_id)
→ short code you send to the claimed winner over your announced contact
channel.
4. check_verification_reply(audit_path, comment_id, winner_channel_id)
→ confirms the reply was authored by the winning channel and contains
the code — proves account ownership before shipping a prize.
5. post_winner_reply(comment_id, "Congratulations! ...")
Entries and audit records live in ~/.config/yt-studio-mcp/giveaways/.
This tool automates entry collection and drawing; giveaway laws vary by jurisdiction and platform policies apply (e.g. YouTube's contest policies). You are responsible for your own official rules and compliance.
Secret storage
| Backend | Select with | Stores |
|---|---|---|
file (default) |
— | ~/.config/yt-studio-mcp/credentials.json, chmod 0600 |
env |
YT_MCP_SECRETS=env |
reads YT_MCP_REFRESH_TOKEN, YT_MCP_CLIENT_ID, YT_MCP_CLIENT_SECRET |
vaultproxy |
YT_MCP_SECRETS=vaultproxy (+ VAULTPROXY_URL) |
items in a Vaultwarden vault via a local vaultproxy HTTP API |
Quota
The Data API's default allocation is 10,000 units/day. Most reads cost 1
unit; writes cost ~50; a video upload costs 1,600. quota_status() shows a
session estimate and warns at 80%. collect_entries reports what it spent.
Development
pip install -e '.[dev]'
ruff check src tests && pytest
Tests are fully offline (mocked Google API). PRs welcome.
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.