# golab

> golab — hoangnecon-golab. Use this tool when you need to control and scrape Google Colab locally for automated testing, data extraction, or workflow integration, providing a fast and native interface for Model Context Protocol (MCP) server functionality. It accepts inputs such as MCP requests and outputs scraped data or test results, supporting git for version control. Ideal for use cases requiring local Colab automation and data retrieval.

Canonical page: https://skillsregistry.net/skills/hoangnecon-golab  
JSON: https://api.skillsregistry.net/v1/skills/hoangnecon-golab

## Description

A blazing-fast, native Golang Model Context Protocol (MCP) Server for controlling and scraping Google Colab locally.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/hoangnecon/golab)

## 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": "hoangnecon-golab"
    }
  }
}
```

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