Mihai

aiNOC: Network troubleshooting framework for multi-vendor, multi-protocol, multi-area enterprise networks based on Claude Code, FastMCP, Python, Scrapli, RESTCONF, Containerlab, Jira, etc.

Network automation pipeline that is able to read, write, and troubleshoot network device configurations easily with the help of cutting-edge technologies such as Claude AI and MCP Server. This repository is associated with the "Automate Network Tasks with Claude AI, MCP Server & Python" course on Udemy.

AI-assisted network intent validation framework for multi-vendor environments. Continuously checks live network state against design intent and invokes a Claude agent to diagnose, explain, and document failures and inconsistencies between expected vs. actual state.