How to Build a Closed‑Loop AIOps System with LLMs, MCP, and DevOps
The article walks through the author’s end‑to‑end experiment that replaces fragmented Jenkins, Prometheus, and Grafana workflows with a natural‑language interface powered by a DeepSeek large language model, a Model Context Protocol (MCP) bridge, and a Streamlit‑based DevOps toolchain, showing the architecture, code snippets, and practical lessons learned.
