# gns3-mcp

> Use this tool when you need to automate and control network emulation labs, such as building and managing virtual network topologies, capturing packets, and interacting with device command-line interfaces. It solves problems related to network testing, simulation, and automation, providing inputs such as topology configurations and device settings, and outputs like packet captures and device responses. Ideal for use cases involving network protocol testing, cybersecurity training, and network architecture design.

Canonical page: https://skillsregistry.net/skills/olaw2jr-gns3-mcp  
JSON: https://api.skillsregistry.net/v1/skills/olaw2jr-gns3-mcp

## Description

Enables AI agents to control GNS3 network emulation labs. Supports building topologies, managing devices, capturing packets, and automating device CLIs.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/channvg862)
- **Repository:** <https://github.com/Olaw2jr/gns3-mcp>

## 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": "olaw2jr-gns3-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/olaw2jr-gns3-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/olaw2jr-gns3-mcp/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