# HPC-MCP

> Use this tool when you need to integrate High Performance Computing (HPC) capabilities with Large Language Models in integrated development environments (IDEs) for tasks like debugging. It provides Model Control Protocol (MCP) tools, allowing for seamless interaction between HPC servers and IDEs like Cursor and VSCode. Ideal for use cases requiring efficient debugging and HPC task management, it accepts model inputs and outputs control commands to facilitate optimized computing workflows.

Canonical page: https://skillsregistry.net/skills/tommelt-hpc-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tommelt-hpc-mcp

## Description

A server that provides Model Control Protocol (MCP) tools for High Performance Computing, designed to integrate with Large Language Models in IDEs like Cursor and VSCode for debugging and other HPC tasks.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jnlm1vp5c5)
- **Repository:** <https://github.com/TomMelt/hpc-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": "tommelt-hpc-mcp"
    }
  }
}
```

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