There are plenty of videos and tutorials explaining MCP (Model Context Protocol).
But not many explain MCP from a DevOps engineer’s point of view.
So here’s my attempt to make MCP practical for DevOps using two real-world MCP servers:
1️⃣ GitHub MCP Server: connecting AI with repositories, issues, pull requests, and developer workflows
2️⃣ AWS MCP Server: connecting AI with AWS services and cloud operations
The goal is simple: understand MCP by using it for real DevOps workflows, not just theory.
🎥 Watch here:
English: https://youtu.be/pRs8orB1Ee8?si=NC3D18kVZ-m7v4Xm
Hindi: https://youtu.be/ycadAzGFy1Y
And if you want to go deeper into GenAI, LLMs, AI Agents, MCP, RAG, Python, System Design, and AI-powered DevOps, our 3-month program starts September 14.
📌 Morning Batch: https://www.ideaweaver.ai/purchase?product_id=6827463
📌 Evening Batch: https://www.ideaweaver.ai/purchase?product_id=6827464
📌 Self-Paced Batch: https://www.ideaweaver.ai/purchase?product_id=6827466
📌 Complete Program Details: https://www.ideaweaver.ai/courses/cracking-the-genai-interview-for-devops-sre-platform-forward-deployed-engineers-morning1/lectures/66591133
Top comments (0)