# Packet Tracer

> Use this tool when you need to design and configure network topologies through natural language instructions, solving problems such as device placement and interface configuration. It provides a range of tools for network planning, routing protocol setup, and deployment validation, accepting natural language inputs and producing configured network topologies as output. Ideal for use cases requiring rapid network prototyping and testing, such as IT training and network architecture design.

Canonical page: https://skillsregistry.net/skills/deiviidsito-packet-tracer  
JSON: https://api.skillsregistry.net/v1/skills/deiviidsito-packet-tracer

## Description

Enables LLMs to build complete network topologies in Cisco Packet Tracer through natural language instructions. Provides 22 tools covering device catalog browsing, topology template selection, network planning, device placement, interface configuration, routing protocol setup (OSPF, EIGRP, RIP), DHCP/NAT configuration, and real-time deployment validation via an HTTP bridge to Packet Tracer.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-05-27

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/deiviidsito-packet-tracer)
- **Repository:** <https://github.com/deiviidsito/mcp_packet_tracer>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "deiviidsito-packet-tracer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/deiviidsito-packet-tracer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/deiviidsito-packet-tracer/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt