palind-rome/tongji_computer_network_experiment_helper

★ 14JavaScriptAudience · generalComplexity · 3/5Setup · moderate

Mindmap

mindmap
  root((PT Helper))
    What it does
      AI controls Packet Tracer
      Plain language instructions
      Network lab automation
    Components
      Packet Tracer plugin
      MCP server
      AI coding assistant
    Supported tasks
      Device creation
      IP addressing and DHCP
      VLAN configuration
      OSPF routing
      NAT and ACLs
    AI integrations
      Claude Code
      Codex CLI
      Any MCP client
    Safety
      Backup file first
      No arbitrary code default

mindmap root((PT Helper)) What it does AI controls Packet Tracer Plain language instructions Network lab automation Components Packet Tracer plugin MCP server AI coding assistant Supported tasks Device creation IP addressing and DHCP VLAN configuration OSPF routing NAT and ACLs AI integrations Claude Code Codex CLI Any MCP client Safety Backup file first No arbitrary code default

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Things people build with this

USE CASE 1

Describe a network topology in plain language and have an AI build it inside Packet Tracer 6.0 automatically.

USE CASE 2

Configure VLANs, inter-VLAN routing, and OSPF on virtual routers without typing IOS commands by hand.

USE CASE 3

Complete a Tongji University networking lab assignment by pasting the ready-made setup prompt from the README.

Tech stack

JavaScriptPythonCisco Packet Tracer 6.0MCP

Getting it running

Difficulty · moderate Time to first run · 30min

Requires Cisco Packet Tracer 6.0 installed on the same machine, the README prompt guides the AI through the rest of setup.

License not specified in the explanation.

In plain English

This repository is a helper toolkit built specifically for students at Tongji University in China who need to complete a Computer Network course final project using Cisco Packet Tracer 6.0. Cisco Packet Tracer is a network simulation program where students design and configure virtual networks with routers, switches, and computers. The toolkit bridges that simulation software with an AI coding assistant, letting the AI control Packet Tracer automatically instead of the student clicking through everything by hand. The two main components are a plugin that runs inside Packet Tracer 6.0 and a small server that an AI assistant such as Codex or Claude Code connects to. Once both are installed and linked, the student can type a plain-language instruction, for example asking for two switches each connected to two computers with a router joining the switches, and the AI will carry out the entire setup inside the running Packet Tracer window without further manual steps. The README is written in Chinese and targets students on this specific course. The verified capabilities listed in the README include creating and naming devices, drawing connections between them, installing router hardware modules, assigning static IP addresses or enabling automatic address assignment via DHCP, configuring IOS command-line settings on routers and switches, setting up VLANs and inter-VLAN routing, configuring OSPF dynamic routing, applying access control lists, setting up NAT, and running ping tests to check connectivity. These match the kinds of tasks that appear in a typical university-level network lab. Installation is designed to be handled by the AI assistant itself: the README includes a ready-made prompt the student can paste to have the assistant clone the repository, set up the Python environment, register the server, and guide the student through importing the plugin into Packet Tracer. The README includes a clear safety warning: because the server gives the AI direct write access to the student's project file, the AI could accidentally damage the network topology. Students are told to back up their project file before using the tool, and to be cautious about any requests to run the debug evaluation function, which can execute arbitrary code inside Packet Tracer.

Copy-paste prompts

Prompt 1

I have the tongji_computer_network_experiment_helper MCP server running. Give me a prompt I can paste to Claude Code to set up two switches each connected to two PCs, joined by a router, with DHCP on each subnet.

Prompt 2

Using the Packet Tracer helper toolkit, how do I instruct the AI to configure OSPF dynamic routing between three routers and verify connectivity with ping?

Prompt 3

Walk me through installing the tongji_computer_network_experiment_helper: cloning the repo, setting up the Python environment, starting the MCP server, and importing the plugin into Packet Tracer 6.0.

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