The latest articles on DEV Community by Yash Kashte (@yash_kashte). https://dev.to/yash_kashte https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3783588%2F39ad48fc-c715-4867-90f1-d3545534bf19.jpg https://dev.to/yash_kashte en Yash Kashte Sat, 21 Feb 2026 07:37:40 +0000 https://dev.to/yash_kashte/production-grade-youtube-mcp-server-13c5 https://dev.to/yash_kashte/production-grade-youtube-mcp-server-13c5 <p>I’ve open-sourced a <strong>Model Context Protocol (MCP) server</strong> that connects AI agents directly to the YouTube Data API v3 — no scraping, no OAuth complexity.</p> <p>Designed for agent orchestration and automation workflows.</p> <h2> What It Provides </h2> <p><strong>16 specialized tools covering:</strong></p> <ul> <li>Channel analytics (subscribers, views, upload patterns)</li> <li>Video intelligence (metadata, transcripts, engagement)</li> <li>SEO analysis (scoring, tag evaluation, thumbnails)</li> <li>Audience insights (comment analysis, keyword extraction)</li> </ul> <p>Built with quota-efficient API patterns for production usage.</p> <h2> Tech Stack </h2> <ul> <li>Python</li> <li>MCP Protocol</li> <li>YouTube Data API v3</li> </ul> <h2> Use Cases </h2> <ul> <li>YouTube automation agents</li> <li>Content strategy tooling</li> <li>Competitive intelligence systems</li> <li>Analytics dashboards</li> <li>AI research pipelines</li> </ul> <h2> Live on Glama </h2> <p><a href="https://glama.ai/mcp/servers/@Yashkashte5/youtube-mcp" rel="noopener noreferrer">https://glama.ai/mcp/servers/@Yashkashte5/youtube-mcp</a></p> <h2> Open Source </h2> <p>GitHub Repository:<br> <a href="https://github.com/Yashkashte5/Youtube-MCP" rel="noopener noreferrer">https://github.com/Yashkashte5/Youtube-MCP</a></p> <p>If you're building agent-based systems that require structured YouTube intelligence, this removes the integration overhead.</p> ai python mcp api