# idrac-design-mcp

> idrac-design-mcp — ashwini97paradkar-idrac-design-mcp. Use this tool when you need to access and retrieve iDRAC design-system knowledge for specific components. It solves problems related to component identification and data retrieval, providing a single interface to obtain information. The tool takes component identifiers as input and returns relevant data as output, making it useful for design and development workflows involving iDRAC systems.

Canonical page: https://skillsregistry.net/skills/ashwini97paradkar-idrac-design-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ashwini97paradkar-idrac-design-mcp

## Description

Exposes iDRAC design-system knowledge via a single get_component tool, currently returning placeholder data for known components.

## 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/zlkefh2u1f)
- **Repository:** <https://github.com/ashwini97paradkar/idrac-design-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": "ashwini97paradkar-idrac-design-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ashwini97paradkar-idrac-design-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ashwini97paradkar-idrac-design-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