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YouTube Data API を Gemini に接続する方法 — MCP 経由

Read YouTube data — videos, channels, playlists, search, comments — and (with OAuth) manage your own uploads. 9 tools, API key + optional OAuth Bearer.

HCBy HelpCode teamUpdated 2 min read Open source on GitHub

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YouTube Data API

MCP connector

YouTube Data API

Read YouTube data — videos, channels, playlists, search, comments — and (with OAuth) manage your own uploads. 9 tools, API key + optional OAuth Bearer.

Tools

9

Region

INTL

Category

social

Authentication

Query Param Auth

Required env vars

YOUTUBE_API_KEY
Install in one click on Cloud

7-day free trial · No credit card

  • 7-day free trial
    No credit card required
  • GDPR & SOC 2 ready
    EU data residency, audit logs
  • Open-source on GitHub
    Source-available BSL-1.1
  • Works with ChatGPT, Claude, Gemini
    Any MCP-compatible client

No install? Use cloud.anythingmcp.com directly.

Sign in, install the YouTube Data API in one click, paste the credentials, mint an MCP API key — done. No Docker, no git clone, no local server to run.

Open Cloud

TL;DR

Read YouTube data — videos, channels, playlists, search, comments — and (with OAuth) manage your own uploads. 9 tools, API key + optional OAuth Bearer.

💡 インストール不要? cloud.anythingmcp.com を直接利用してください。 サインインし、Connectors → YouTube Data API をクリック、認証情報を貼り付け、MCP API キーを発行 — 完了です。Docker も git clone もローカルサーバーも不要。

YouTube Data API + Gemini

Read YouTube data — videos, channels, playlists, search, comments — and (with OAuth) manage your own uploads. 9 tools, API key + optional OAuth Bearer.

前提条件

完全なセットアップ手順はコネクタ自体に組み込まれています (ストアでコネクタを選択すると表示)。必要な環境変数:

YOUTUBE_API_KEY

ステップ 1 — 認証情報を取得

google.com/youtube/v3).

Setup:

  1. Create / pick a Google Cloud project at https://console.cloud.google.com.
  2. APIs & Services → Library → enable YouTube Data API v3.
  3. Credentials → Create credentials → API key. (For write operations, also do OAuth2 client + get a Bearer token with youtube.upload/youtube scopes — out of scope here.)
  4. Set YOUTUBE_API_KEY to the API key.

Authentication: query-string ?key=.... Read operations don't need OAuth.

…(continued in the in-app connector instructions)

ステップ 2 — アダプターをインストール

git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d

ステップ 3 — Gemini にコネクタを追加

Gemini CLI は ~/.gemini/settings.json (Windows は %APPDATA%\gemini\settings.json) から MCP サーバを読み込みます。追加:

{
  "mcpServers": {
    "anythingmcp": {
      "httpUrl": "https://cloud.anythingmcp.com/mcp",
      "headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
    }
  }
}
  1. AnythingMCP の Profile → MCP API Keys → New KeyMCP API key を取得。
  2. ファイルを保存し gemini を再起動。
  3. Gemini CLI で /mcp を実行 — YouTube Data API が利用可能として表示されます。
  4. Vertex AI Studio: 同じ Bearer ヘッダーで https://cloud.anythingmcp.com/mcp をリクエストの tools 配列に渡してください。

利用可能なツール

ToolWhat it does
youtube_searchSearch videos / channels / playlists
youtube_get_videosFetch video details by ID(s)
youtube_get_videos_chartGet videos from a chart (currently only 'mostPopular')
youtube_get_channelsFetch channel details by ID, handle (@username), forUsername (legacy), or 'mine' (requires OAuth)
youtube_list_playlistsList playlists, filtered by channelId or 'mine' (OAuth)
youtube_list_playlist_itemsList items in a playlist (videos in playlist)
youtube_list_video_commentsList top-level comments on a video
youtube_list_categoriesList video categories for a region
youtube_get_captionsList caption tracks available for a video

FAQ

Gemini 1.5 Pro / 2.x は MCP をサポートしますか? はい — Gemini CLI ≥ 0.4 と Vertex AI tools API は Bearer ヘッダー付きの httpUrl MCP コネクタを受け入れます。

次のステップ

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