# HPC-MCP

> HPC-MCP — xiaozhongfang-hpc-mcp. Use this tool when you need to manage and interact with High-Performance Computing (HPC) clusters, submit Slurm jobs, and access files and scientific computing workflows. It provides an interface for AI agents to leverage HPC resources, supporting git integration for version control. Ideal for use cases requiring scalable computing, data-intensive processing, and automated workflow management.

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

## Description

MCP server for AI agents to interact with HPC clusters, Slurm jobs, SSH, files, and scientific computing workflows.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/XiaozhongFang/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": "xiaozhongfang-hpc-mcp"
    }
  }
}
```

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