# Scrapli Network Automation

> Use this tool when you need to automate network device configuration and troubleshooting tasks through an AI interface. It solves problems by executing SSH commands on network devices, particularly Cisco IOS XE devices, and retrieves host information. The tool takes natural language inputs and outputs command execution results, making it ideal for network engineers to automate tasks efficiently.

Canonical page: https://skillsregistry.net/skills/carlmontanari-scrapli  
JSON: https://api.skillsregistry.net/v1/skills/carlmontanari-scrapli

## Description

Scrapli-MCP is a server implementation that integrates the Scrapli network automation library with MCP to enable AI assistants to execute SSH commands on network devices. Built by Carl Montanari, this implementation provides resources for retrieving host information and a tool for executing commands on Cisco IOS XE devices using AsyncScrapli. The server includes custom prompts to facilitate natural language interactions when requesting command execution, making it particularly useful for network engineers who need to automate device configuration and troubleshooting tasks through an AI interface.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/carlmontanari-scrapli)
- **Repository:** <https://github.com/carlmontanari/scrapli-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": "carlmontanari-scrapli"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/carlmontanari-scrapli` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/carlmontanari-scrapli/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