Packet Tracer MCP

Tell your AI "create a network with 3 routers, OSPF and DHCP" — it plans, validates, generates, and deploys the topology directly into Cisco Packet Tracer in real time.

🌐 Website: https://www.mcpnetwork.top  •  📚 Documentation: https://mats2208.github.io/MCP-Packet-Tracer/

Showcase

Related MCP server: Itential MCP Server

What it does

A Model Context Protocol (MCP) server that gives any LLM (Claude, GitHub Copilot, Codex, …) full programmatic control over Cisco Packet Tracer.

👉 Full tool reference, device catalog, networking guides and architecture live in the documentation site.

Installation

1. Install the server

git clone https://github.com/Mats2208/MCP-Packet-Tracer
cd MCP-Packet-Tracer
pip install -e .

2. Connect your MCP client (Claude Code shown)

Linux · macOS · Git Bash · Windows cmd.exe:

claude mcp add --scope user --transport stdio packet-tracer -- python -m packet_tracer_mcp --stdio

Windows PowerShell — quote the -- separator, or PowerShell swallows it and Claude aborts with error: unknown option '-m':

claude mcp add --scope user --transport stdio packet-tracer "--" python -m packet_tracer_mcp --stdio

Verify with claude mcp list (look for packet-tracer … ✓ Connected).

3. Install the live-deploy extension — only if you want real-time deploy into a running Packet Tracer

Download V4.0.pts from Releases, then in Packet Tracer go to Extensions → Scripting → Configure PT Script Modules → Add… and select it. Full walkthrough in Live deploy below.

4. Install the Claude Code Skill — recommended; makes the AI use the MCP correctly instead of guessing

The repo ships a companion Agent Skill that teaches the model the exact tool catalog, the discover→plan→validate→deploy workflow, and the precise Script-Engine API (so it never invents method/model/port names). Install it globally from the repo root:

Linux · macOS · Git Bash:

mkdir -p ~/.claude/skills/packet-tracer && cp skill/SKILL.md ~/.claude/skills/packet-tracer/SKILL.md

Windows PowerShell:

New-Item -ItemType Directory -Force "$HOME\.claude\skills\packet-tracer" | Out-Null; Copy-Item skill\SKILL.md "$HOME\.claude\skills\packet-tracer\SKILL.md"

Then run /reload-skills in Claude Code (or restart it) and confirm with /skills. Details → Skill docs.

Requires Python 3.11+ (deps mcp[cli]>=1.13, pydantic>=2.11 install automatically). Full setup for every client → Installation docs.

Quick start

Just talk to your AI:

"Build a network with 2 routers, 2 switches, 4 PCs, DHCP and static routing."

The LLM calls pt_full_build, which plans → validates → generates → deploys. See the Quick Start guide.

Live deploy

Stream topologies into a running Packet Tracer in real time. Install this repo's own MCP Control Center extension once — the .pts from Releases — via Extensions → Scripting → Configure PT Script Modules → Add…, then open Extensions → MCP BUILDER. It auto-connects to the bridge — no snippet to paste.

📖 Full steps → Live Deploy Setup.

Credits & Acknowledgements

Live deploy runs through our own Packet Tracer extension — the MCP Control Center (the .pts in Releases). Its Script-Engine helper layer was inspired by PTBuilder by Kim Knight (@kimmknight), who pioneered driving Packet Tracer's Script Engine from JavaScript — thanks for the groundwork. 🙏

PTBuilder and Packet Tracer MCP are separate, independent projects. You install our extension, not PTBuilder. Full Credits & Attribution.

License

Released under the MIT License — © 2026 Mateo (@Mats2208).

Built with MCP · Powered by Pydantic · Deploys to Cisco Packet Tracer · Script-engine logic inspired by PTBuilder

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