# gpu-mcp

> gpu-mcp — myaelmendez-gpu-mcp. Use this tool when you need to leverage local NVIDIA GPU acceleration and Rust-to-WASM compilation for secure, sovereign computing. It solves problems related to local compute resource utilization and provides an interface for exposing CUDA capabilities and compiling Rust code to WebAssembly. Ideal for use cases requiring private, high-performance processing with minimal dependencies.

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

## Description

Exposes local NVIDIA GPU (CUDA) and Rust-to-WASM toolchain as MCP tools for sovereign local compute.

## 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/bvel9yuwzk)
- **Repository:** <https://github.com/MYaelMendez/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": "myaelmendez-gpu-mcp"
    }
  }
}
```

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