MCP-Enabled Agentic AI for Autonomous IPoDWDM Network Lifecycle Automation
arXiv:2607.059755.2
Predicted impact top 51% in NI · last 90 daysOriginality Synthesis-oriented
AI Analysis
This work addresses the need for vendor-agnostic autonomous network lifecycle automation in IPoDWDM networks, but represents an incremental application of existing agentic AI and MCP concepts to a specific domain.
The paper presents an MCP-enabled agentic AI architecture for autonomous lifecycle management of IPoDWDM networks, demonstrating live end-to-end multi-layer automation and closed-loop control validated on a real testbed.
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.