This n8n workflow is designed to automate the process of managing YouTube reporting tasks through an MCP Server integration. It provides a structured approach to list, create, retrieve, and delete reporting jobs, as well as download media and fetch report metadata, all via HTTP requests to the YouTube Reporting API. The workflow is likely triggered by a webhook from the MCP Server, initiate various API calls to manage reporting jobs, and gather report data efficiently. Practical use cases include automating YouTube analytics reporting, generating periodic reports, or integrating YouTube data into larger data management systems for content performance analysis.
Automated YouTube Reporting with MCP Server Integration
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.mcpTrigger, httpRequestTool, stickyNote |
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