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Packet Tracer MCP β€” AI-powered Cisco Packet Tracer automation: generate, validate and deploy network topologies from natural-language prompts

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

Version Python Pydantic v2 MCP Website Docs License

MCP Registry


61 MCP Tools 5 MCP Resources 74 Device Models 151 Modules 15 Cable Types

🌐 Website: https://www.mcpnetwork.top Β β€’Β  πŸ“š Documentation: https://mats2208.github.io/MCP-Packet-Tracer/


Showcase

3-router OSPF topology deployed to Packet Tracer

3-router linear topology with OSPF, DHCP, and 6 PCs β€” planned and deployed via MCP tools

MCP tools executing in VS Code

Full build + live deploy pipeline in VS Code

Generated IOS CLI configs

Auto-generated IOS CLI configs with OSPF & DHCP

Live deploy demo β€” from prompt to Packet Tracer in real time

Live deploy β€” from a natural-language prompt to a running topology in Packet Tracer


What it does

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

Feature Details
Planning Natural language β†’ topology A single prompt becomes a complete TopologyPlan
IP / DHCP Auto /24 LANs + /30 links, DHCP pools Sequential, gateway at .1
Routing Static Β· OSPF Β· EIGRP Β· RIP Full IOS generation
Switching VLANs, trunks, inter-VLAN routing (router-on-a-stick), STP, port-security .1q subinterfaces + per-VLAN DHCP
Security Device hardening (SSH, local users, enable-secret, banner), ACL/NAT On live devices via the bridge
IPv6 Dual-stack addressing Routers via CLI, hosts via SLAAC
Wireless WiFi laptops + auto-associated Access Points NIC swap β†’ Wireless0, default-SSID assoc
Validation Typed errors + auto-fixer Wrong cables, missing ports, model upgrades
Verification Plan-vs-live diff, health check, real ping (pt_verify_connectivity) Drift, down links, duplicate IPs β€” and actual reachability
Security audit pt_audit_security grades the live config: missing enable secret, reversible (type 7) credentials, service password-encryption off, config-register 0x2142 Reads the device, not the plan. Credentials never leave it β€” only the algorithm label
Live inspection pt_inspect_ports, pt_read_vlans, pt_device_power Per-port protocol/duplex/NAT/ACL state, real VLAN database, power-cycle with read-back
Packet tracing pt_simulation_mode, pt_simulation_step, pt_read_packet_trace Step the simulation and read why each packet did what it did β€” PT's own per-OSI-layer decision log, not just pass/fail
Telemetry pt_apply_netflow configures a NetFlow exporter directly and reads it back; pt_read_qos verifies class-maps and policy-maps Collector address, UDP port, version, source interface
Backup pt_backup_config, pt_project_metadata, pt_workspace_options Real startup-config + serial + config-register; project info; auto-cabling and real-network-access toggles
Deploy Real-time bridge to PT (auto-reconciles) No copy-paste β€” commands stream directly
Two channels HTTP when the extension window is open, file-bridge when it's closed PT keeps executing with the window minimized/closed
Projects Save / open the real .pkt (pt_save_project / pt_open_project) Persist the running topology, not just the plan JSON
Export Plans, JS scripts, CLI configs Reusable project files on disk

πŸ‘‰ 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 Β· macOS Β· Git Bash Β· Windows cmd.exe:

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

Windows PowerShell β€” 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 … βœ“ Connected).

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

Download V5.pts from Releases, then in Packet Tracer go to Extensions β†’ Scripting β†’ Configure PT Script Modules β†’ Add… and select it. Full walkthrough in Live deploy below.

v0.6.0+ requires V5. The bridge now authenticates with a per-machine token that the V5 extension reads automatically; builds before V5 can't authenticate.

4. Install the Claude Code Skill β€” 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 Β· macOS Β· 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 β†’ Skill docs.

Requires Python 3.11+ (deps mcp[cli]>=1.13, pydantic>=2.11 install automatically). Full setup for every client β†’ 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 β†’ validates β†’ generates β†’ 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 β€” the .pts from Releases β€” via Extensions β†’ Scripting β†’ Configure PT Script Modules β†’ Add…, then open Extensions β†’ MCP BUILDER. It auto-connects to the bridge β€” no snippet to paste.

Installing the MCP Control Center extension in Packet Tracer

Installing the MCP Control Center extension (V5) in Packet Tracer

πŸ“– Full steps β†’ Live Deploy Setup.

Clients

Any MCP client drives this server β€” Claude Code, Cursor, Claude Desktop, VS Code with Copilot, Codex. Nothing in it is client-specific.

There is also one built on it: PacketSmith, a terminal app that runs these 61 tools with the network drawn beside the conversation β€” a fabric tree and a canvas plan derived from the pt_* results themselves, so a device the model says it created but did not never shows up.

This server alone This server + PacketSmith
Where you talk the MCP client you already use a terminal app built for this one job
What you see a chat log, plus PT in another window split screen: reply left, live topology right
Topology read out of the tool output fabric tree and canvas plan, drawn for you
Tools loaded every MCP server you have configured this one only β€” measurably faster to start
Engine whatever your client speaks Claude, or ~150 providers

You need this server either way β€” PacketSmith runs it underneath, and its setup installs it for you. If you already live in Claude Code, you are done here; the client is for when you want the topology in front of you instead of buried in a scrollback.

npm i -g packetsmith    # beta Β· MIT

Credits & Acknowledgements

Live deploy runs through our own Packet Tracer extension β€” 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 β€” thanks for the groundwork. πŸ™

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

Security

Driving Packet Tracer from outside means running a local HTTP bridge whose whole job is to hand JavaScript to PT's Script Engine β€” code that executes with PT's own privileges, including disk access. That makes the bridge a genuine attack surface, not an implementation detail, and it is hardened accordingly.

The attack this design exists to stop. Binding to 127.0.0.1 is not a security control. A POST with Content-Type: text/plain is a CORS simple request: any web page open in your browser can send it to a loopback port without a preflight and without needing to read the response. An unauthenticated bridge therefore lets any website you visit β€” while Packet Tracer happens to be open β€” queue arbitrary code inside it. Injection never needed to read anything back, so same-origin policy alone never closed this.

What actually closes it is a secret the attacking page cannot guess:

Control Implementation
Token on every endpoint Every route except /ping requires a shared token (?t= or X-PT-Token). Compared with hmac.compare_digest β€” constant time, no early-exit oracle.
/ping leaks nothing Deliberately unauthenticated so the server can tell who owns the port before trusting it β€” but it returns only a SHA-256 fingerprint of the token, never the token.
Foreign-bridge detection Before sending any payload, the server checks that /ping identity matches its own token fingerprint. If a stranger holds the port, it refuses to hand code to it instead of blindly trusting a 200.
DNS-rebinding defense The Host header is validated against 127.0.0.1 / localhost / [::1] + the real port. A rebound request arrives as Host: evil.com:<port> and is rejected.
Loopback bind ThreadingHTTPServer(("127.0.0.1", port)) β€” never 0.0.0.0, so the bridge is not reachable from the LAN.
Token at rest secrets.token_urlsafe(32), created with O_EXCL (race-safe when two servers start at once) at mode 0o600, under %LOCALAPPDATA% on Windows β€” deliberately not roaming %APPDATA%, so a loopback secret never syncs to a file server.
Body size cap Oversized bodies are rejected with 413 and are not read into memory.
Silent failures Error responses carry no CORS headers, so a hostile page cannot even distinguish why it failed.
Tamper visibility Unauthorized attempts are counted and surfaced by pt_bridge_status, so a stale or rogue client is diagnosable instead of silent.

Regression coverage lives in tests/test_bridge_security.py and tests/test_injection_regressions.py; the full suite runs offline with python -m pytest β€” no Packet Tracer required.

v0.6.0+ requires the V5 extension. Versions before v0.6.0 shipped an unauthenticated bridge and are vulnerable to exactly the attack above. Upgrade β€” there is no safe configuration of the old bridge.

Deliberate, documented behaviour: pt_send_raw executes arbitrary JavaScript inside Packet Tracer by design β€” it is the escape hatch for exploring the IPC API. It is reachable only by an MCP client you have already authorised, over the authenticated bridge. That is a capability, not a vulnerability.

Found a vulnerability? Report it privately via GitHub Security Advisories, not a public issue. SECURITY.md documents the full threat model.

What's new

v0.8.0 β€” the agent can now show the network, not just describe it: canvas screenshots plus notes and drawings, for topologies that document themselves. v0.7.0 made the server read a live topology, not just build one: security auditing, per-port inspection, packet tracing with Packet Tracer's own per-layer decision log, NetFlow, and config backup. It also fixes pt_full_build(deploy=True), which used to report success while leaving the canvas empty. Full list in the Changelog.

Contributing

See CONTRIBUTING.md. Tests run offline with python -m pytest; no Packet Tracer needed.

License

Released under the MIT License β€” Β© 2026 Mateo (@Mats2208).

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

Terminal client built on this server β†’ PacketSmith

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AI-powered Cisco Packet Tracer automation over MCP. Describe a network in natural language and it generates, validates and deploys full topologies (OSPF, EIGRP, RIP, DHCP).

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