# Colab MCP

> Use this tool when you need to execute Python code in Google Colab notebooks from local AI agents, enabling seamless interaction and state management. It solves problems of remote code execution, notebook state synchronization, and agent-notebook integration, providing a unified interface for inputs and outputs. Ideal for use cases requiring direct agent-notebook communication, Colab MCP streamlines workflow and enhances collaboration between local agents and cloud-based notebooks.

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

## Description

An MCP server that bridges local AI agents to Google Colab notebooks, enabling execution of Python code and interaction with notebook states directly from the agent.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y2um2b35vk)
- **Repository:** <https://github.com/aerovfx/MCP_Colab>

## 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": "aerovfx-mcp-colab"
    }
  }
}
```

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