# colab-mcp

> Use this tool when you need to automate interactions with Google Colab notebooks without browser automation, enabling programmatic cell creation, editing, execution, and inspection. It solves problems related to automating data science workflows, machine learning model development, and educational content creation. The tool accepts commands and notebook content as input and returns execution results and notebook state as output.

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

## Description

Enables agents to control Google Colab notebooks through a secure, headless WebSocket architecture, allowing cell creation, editing, execution, and inspection without browser automation.

## 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:** browser-automation
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y1ubhymsve)
- **Repository:** <https://github.com/DaneshSelwal/colab-mcp-server>

## 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": "daneshselwal-colab-mcp-server"
    }
  }
}
```

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