# HuskyLens2MCP

> HuskyLens2MCP — ronibandini-huskylens2mcp. Use this tool when you need to interact with the Huskylens2 MCP server through a command line interface, enabling AI-powered functionality and automation. It solves problems related to remote server management and AI integration, accepting commands and inputs through the terminal. Ideal for use cases requiring automated interactions with the Huskylens2 MCP server, such as scripting and workflow automation.

Canonical page: https://skillsregistry.net/skills/ronibandini-huskylens2mcp  
JSON: https://api.skillsregistry.net/v1/skills/ronibandini-huskylens2mcp

## Description

Command line AI interface with Huskylens2 MCP server

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ronibandini/HuskyLens2MCP)

## 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": "ronibandini-huskylens2mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ronibandini-huskylens2mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ronibandini-huskylens2mcp/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