# laptop-gpu-mcp

> laptop-gpu-mcp — mbeh768-laptop-gpu-mcp. Use this tool when you need to remotely execute Python scripts over HTTP, discover available tools, or track job status on a laptop GPU. It solves problems of remote script execution, tool discovery, and job monitoring, providing an interface for inputting script requests and outputting execution results and status updates. Ideal for use cases requiring distributed computing or automated task management on a remote machine.

Canonical page: https://skillsregistry.net/skills/mbeh768-laptop-gpu-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mbeh768-laptop-gpu-mcp

## Description

A minimal MCP server for running Python scripts on a remote machine over HTTP, exposing tools to Claude for script discovery, execution, and job status tracking.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vpavfkbpq1)
- **Repository:** <https://github.com/mbeh768/laptop_gpu_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": "mbeh768-laptop-gpu-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mbeh768-laptop-gpu-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mbeh768-laptop-gpu-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