POX MCP Server

Overview

The POX MCP Server turns the POX SDN controller into a first‑class AI‑friendly service. By exposing network control operations as MCP resources, prompts, and tools, it lets AI assistants such as Claude query live switch states, modify flow tables, or generate network insights without needing to write custom OpenFlow code. This bridges the gap between high‑level AI reasoning and low‑level SDN primitives, enabling rapid prototyping, automated policy enforcement, and dynamic network analysis directly from conversational interfaces.

At its core the server provides two dynamic resources. is a memo that tracks every active POX component, the current topology, and flow rules, giving an AI assistant a consistent view of the controller’s state. offers a live, graph‑style snapshot of all OpenFlow datapaths, host locations, and link status. These resources allow an assistant to answer questions like “Which switches are currently connected?” or “Show me the topology of the campus network,” and to feed that information into subsequent prompts or tools.

The prompt set is designed for hands‑on interaction. guides the user through configuring POX modules or adjusting policies, while and demonstrate core POX event‑driven programming patterns. Together they provide a learning path for developers new to SDN, letting them experiment with L2 forwarding and packet handling in a conversational environment.

Tool support covers the full lifecycle of OpenFlow management. Datapath tools such as and expose switch inventories and capabilities. Flow tools like and let an assistant read or write flow entries, enabling dynamic policy updates. The analysis tool enriches the network‑config memo with observations, allowing iterative learning loops where an assistant can document discovered issues and automatically propagate fixes.

For developers integrating AI into network operations, the POX MCP Server offers a clean, modular interface that fits seamlessly into existing workflows. An AI assistant can be wired to the server via any MCP‑compatible client, query live topology, adjust flows on demand, and generate documentation—all through natural language. This capability is especially valuable in educational settings where students can experiment with real switches, in research labs that require rapid prototyping of SDN applications, or in operational environments where automated policy enforcement reduces human error.