# colab-mcp

> Use this tool when you need to interact with Google Colab notebooks programmatically, enabling automation and integration with other systems. It solves problems related to remote execution, debugging, and testing of Colab notebooks, providing a server-based interface for sending and receiving data. The colab-mcp tool accepts input commands and notebook specifications, outputting execution results and status updates.

Canonical page: https://skillsregistry.net/skills/s00hyuk-colab-mcp  
JSON: https://api.skillsregistry.net/v1/skills/s00hyuk-colab-mcp

## Description

An MCP server for interacting with Colab.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b43glzo4ox)
- **Repository:** <https://github.com/s00hyuk/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": "s00hyuk-colab-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/s00hyuk-colab-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/s00hyuk-colab-mcp/pull`

---
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