New Videos by Search

import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const deployed = await pd.triggers.deploy({
  id: "youtube_data_api-new-videos-by-search",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    youtube_data_api: { authProvisionId: "apn_xxxxxxx" },
    q: "Search Query",
    channelId: "Channel ID",
  },
  webhookUrl: "https://example.com/webhooks/youtube-data-api",
})

console.log(deployed.id)

curl -X POST https://api.pipedream.com/v1/connect/{project_id}/triggers/deploy \
  -H "Content-Type: application/json" \
  -H "X-PD-Environment: production" \
  -H "Authorization: Bearer {access_token}" \
  -d '{
    "external_user_id": "{external_user_id}",
    "id": "youtube_data_api-new-videos-by-search",
    "webhook_url": "https://example.com/webhooks/youtube-data-api",
    "configured_props": {
      "youtube_data_api": { "authProvisionId": "apn_xxxxxxx" },
      "q": "Search Query",
      "channelId": "Channel ID"
    }
  }'

MCP servers expose YouTube Data actions as on-demand tools.

New Videos by Search is an event source, so your application deploys it
with the Connect SDK or API and then either receives each event at a
webhook URL or retrieves events on demand with the trigger events API.