POX MCP Server

POX MCP Server

The POX MCP Server bridges the gap between AI assistants and software‑defined networking by exposing a rich set of network control capabilities through the POX SDN controller. It turns an otherwise command‑line or Python‑scripted network stack into a first‑class, queryable resource that an AI assistant can read, modify, and orchestrate in real time. For developers building intelligent network applications, this means an AI can inspect topology, tweak flow tables, or generate policy scripts without leaving the conversational interface.

At its core, the server offers two dynamic resources. acts as a living memo that records every active POX component, its configuration, and the current flow rules. provides a live snapshot of switches, hosts, and link status, allowing an assistant to answer questions like “Which switch is hosting device A?” or “Show me the path between two endpoints.” These resources give developers a single source of truth that is automatically kept up to date as the network evolves.

The server’s prompts turn complex operations into guided conversations. walks a user through enabling or disabling POX modules, while and demonstrate event‑driven packet handling in the simplest possible form. Each prompt requires only a datapath identifier, making it trivial to target specific switches in a multi‑switch deployment. By integrating these prompts with the AI’s natural language understanding, developers can ask for a “learning switch on dpid 00:00:00:00:00:01” and receive a fully configured component ready for deployment.

Five core tools provide fine‑grained control. Datapath management tools (, ) expose the set of OpenFlow controllers and their capabilities. Flow tools (, ) let an assistant query statistics or push new flow entries, while the analysis tool enriches the configuration memo with observations gathered during runtime. Together, these tools give an AI assistant a full CRUD interface to the network’s state and behavior.

In practice, this server is invaluable for educational labs where students can experiment with SDN concepts via chat, for rapid prototyping of custom OpenFlow applications, and for research projects that need automated topology discovery or policy enforcement. By integrating the POX MCP Server into an AI workflow, developers can build conversational network operators that translate high‑level intent into concrete controller actions, dramatically reducing the learning curve and speeding up deployment cycles.