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.
TL;DR
Read YouTube data — videos, channels, playlists, search, comments — and (with OAuth) manage your own uploads. 9 tools, API key + optional OAuth Bearer.
💡 ¿Sin instalación? Usa cloud.anythingmcp.com directamente. Inicia sesión, pulsa Connectors → YouTube Data API, pega tus credenciales, genera una MCP API key — listo. Sin Docker, sin
git clone, sin servidor local.
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.
Requisitos previos
Las instrucciones de configuración completas están incluidas en el conector (visibles en el store al seleccionarlo). Las variables de entorno requeridas:
YOUTUBE_API_KEY
Paso 1 — Obtener credenciales
google.com/youtube/v3).
Setup:
- Create / pick a Google Cloud project at https://console.cloud.google.com.
- APIs & Services → Library → enable YouTube Data API v3.
- Credentials → Create credentials → API key. (For write operations, also do OAuth2 client + get a Bearer token with
youtube.upload/youtubescopes — out of scope here.) - Set
YOUTUBE_API_KEYto the API key.
Authentication: query-string ?key=.... Read operations don't need OAuth.
…(continued in the in-app connector instructions)
Paso 2 — Instalar el adapter
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d
Paso 3 — Añadir el conector en Gemini
Gemini CLI lee servidores MCP desde ~/.gemini/settings.json (o %APPDATA%\gemini\settings.json en Windows). Añade:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Obtén tu MCP API key desde AnythingMCP → Perfil → MCP API Keys → Nueva Key.
- Guarda el archivo y reinicia
gemini. - Ejecuta
/mcpen la Gemini CLI —YouTube Data APIdebería aparecer como disponible. - Vertex AI Studio: pasa
https://cloud.anythingmcp.com/mcpal arraytoolsde tu petición con el mismo header Bearer.
Herramientas disponibles
| Tool | What it does |
|---|---|
youtube_search | Search videos / channels / playlists |
youtube_get_videos | Fetch video details by ID(s) |
youtube_get_videos_chart | Get videos from a chart (currently only 'mostPopular') |
youtube_get_channels | Fetch channel details by ID, handle (@username), forUsername (legacy), or 'mine' (requires OAuth) |
youtube_list_playlists | List playlists, filtered by channelId or 'mine' (OAuth) |
youtube_list_playlist_items | List items in a playlist (videos in playlist) |
youtube_list_video_comments | List top-level comments on a video |
youtube_list_categories | List video categories for a region |
youtube_get_captions | List caption tracks available for a video |
FAQ
¿Gemini 1.5 Pro o 2.x soportan MCP? Sí — Gemini CLI ≥ 0.4 y la API de tools de Vertex AI aceptan conectores MCP httpUrl con header Bearer.
Siguientes pasos
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