YouTube Reporting API MCP Server for AI Agents

This n8n workflow transforms the YouTube Reporting API into a fully functional MCP (Model Context Protocol) server, providing AI agents with direct access to 8 key operations including job creation/deletion/retrieval, report listing/metadata, media downloads, and report types. Using a central MCP Trigger node, it handles incoming AI requests, dynamically routes them via HTTP Request nodes to the Google API (https://youtubereporting.googleapis.com/), and returns structured responses automatically. AI expressions with $fromAI() placeholders simplify parameter handling for paths, queries, and filters.

Benefits include rapid setup without custom coding, native AI compatibility for tools like Claude or custom agents, and scalable analytics automation. It saves hours of development time by abstracting complex API authentication, pagination, and error handling into a plug-and-play endpoint.

Ideal use cases: Content creators automating performance reports; marketing teams integrating YouTube data into BI dashboards; sales analysts tracking video-driven leads; AI-driven research agents fetching real-time metrics. Perfect for business intelligence in media, e-commerce, or influencer marketing.