# MCP-Enabled Agentic AI for Autonomous IPoDWDM Network Lifecycle Automation

arXiv: https://arxiv.org/abs/2607.05975 · HTML: https://mlsanity.com/paper/2607.05975/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Placed in Agentic AI for wireless networks, one of 16 directions in LLM agents and tool use.
- Builds on 1 of its 11 references that are in the map.
- First posted on arXiv 7 Jul 2026.

## Placed in

- LLM agents and tool use / [Agentic AI for wireless networks](https://mlsanity.com/agents/agentic-ai-for-wireless-networks/)

## Builds on (most cited first, 1 of 1)

- [First Field Trial of LLM-Powered AI Agent for Lifecycle Management of Autonomous Driving Optical Networks](https://mlsanity.com/paper/2409.14605/) (2024)

## Abstract (arXiv)

This demo presents an MCP-enabled agentic AI architecture for autonomous control of vendor-agnostic IPoDWDM networks. We demonstrate live end-to-end lifecycle multi-layer automation and closed-loop control using GNPy and telemetry, validated on a real testbed.