# Smart Colab MCP Bridge

> Use this tool when you need to execute Python code remotely on a Google Colab runtime with GPU/CPU capabilities, and manage files seamlessly. It solves problems of limited local computing resources and facilitates remote code execution with smart timeouts. The tool connects Claude Desktop to Google Colab via ngrok, accepting Python code as input and returning execution results as output.

Canonical page: https://skillsregistry.net/skills/g-karthick0501-smart-colab-mcp  
JSON: https://api.skillsregistry.net/v1/skills/g-karthick0501-smart-colab-mcp

## Description

Connects Claude Desktop to a Google Colab runtime via ngrok for remote Python execution, enabling GPU/CPU code execution with smart timeouts and file management.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u34ioxyjev)
- **Repository:** <https://github.com/G-karthick0501/Smart-colab-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": "g-karthick0501-smart-colab-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/g-karthick0501-smart-colab-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/g-karthick0501-smart-colab-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