# mcp-server-colab-exec

> Use this tool when you need to run GPU-accelerated Python code without local GPU hardware, or require a scalable solution for executing AI workloads. It allocates Google Colab GPU runtimes and executes Python code, solving problems related to resource-intensive computations and limited local hardware. Ideal for MCP-compatible AI assistants, it provides a seamless interface for inputting Python code and outputting results.

Canonical page: https://skillsregistry.net/skills/pdwi2020-mcp-server-colab-exec  
JSON: https://api.skillsregistry.net/v1/skills/pdwi2020-mcp-server-colab-exec

## Description

MCP server that allocates Google Colab GPU runtimes (T4/L4) and executes Python code on them. Lets any MCP-compatible AI assistant run GPU-accelerated code without local GPU hardware.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pmpo538z6k)
- **Repository:** <https://github.com/pdwi2020/mcp-server-colab-exec>

## 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": "pdwi2020-mcp-server-colab-exec"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pdwi2020-mcp-server-colab-exec` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pdwi2020-mcp-server-colab-exec/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
