# PNETLab MCP Server

> PNETLab MCP Server — omichelbraga-pnetlab-mcp-server. Use this tool when you need to programmatically control a network-emulation lab, such as building custom topologies or configuring devices, and want to interact with it using natural language inputs. It solves problems like automating lab setup and configuration, and testing network scenarios, by providing a natural language interface to control the lab. The tool accepts natural language commands as input and outputs a configured and running network-emulation lab.

Canonical page: https://skillsregistry.net/skills/omichelbraga-pnetlab-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/omichelbraga-pnetlab-mcp-server

## Description

Enables programmatic control of a PNETLab network-emulation lab via natural language, allowing users to build topologies, wire links, push device configs, and boot the lab through an LLM agent.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cd9bjnopmy)
- **Repository:** <https://github.com/omichelbraga/pnetlab-mcp-server>

## 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": "omichelbraga-pnetlab-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/omichelbraga-pnetlab-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/omichelbraga-pnetlab-mcp-server/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
