# svc-mcp-server

> Use this tool when you need to interact with IBM SVC storage systems, enabling AI assistants to check system status and execute SVC CLI commands. It solves problems related to storage system management and automation by providing a secure SSH interface. Ideal for use cases requiring remote monitoring and control of SVC storage systems, accepting CLI commands as input and returning system status and execution results as output.

Canonical page: https://skillsregistry.net/skills/cu0001-svc-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/cu0001-svc-mcp-server

## Description

Enables AI assistants to interact with IBM SVC storage systems, checking system status and executing arbitrary SVC CLI commands via SSH.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aqlncld6j9)
- **Repository:** <https://github.com/cu0001/svc-mcp-server>

## 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": "cu0001-svc-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cu0001-svc-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cu0001-svc-mcp-server/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