# colab-mcp

> Use this tool when you need to integrate a local AI agent with Google Colab, enabling seamless code execution and file operations. It solves problems of remote model development and testing by providing a bridge between local agents and Colab sessions through the Model Context Protocol. This tool is ideal for use cases requiring collaborative or remote model development, and accepts local AI agent inputs, outputting executed code results and modified files.

Canonical page: https://skillsregistry.net/skills/kamalrana22-colab-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kamalrana22-colab-mcp

## Description

Bridges a local AI agent to a Colab session in the browser, enabling code execution and file operations through the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nb1out9qng)
- **Repository:** <https://github.com/kamalrana22/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": "kamalrana22-colab-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kamalrana22-colab-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kamalrana22-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