# mcp_calculator

> Use this tool when you need to calculate and manage metrics, such as memory and CPU usage, to optimize system performance and solve resource allocation problems. It takes input parameters like usage data and system configurations, and outputs calculated metrics and recommendations. Ideal for use in development and deployment contexts where resource optimization is crucial.

Canonical page: https://skillsregistry.net/skills/minjunkim622-mcp-calculator  
JSON: https://api.skillsregistry.net/v1/skills/minjunkim622-mcp-calculator

## Trust

- **Trust score (0–1):** 0.75
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/Minjunkim622/mcp_calculator)
- **Repository:** <https://github.com/Minjunkim622/mcp_calculator>

## 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": "minjunkim622-mcp-calculator"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/minjunkim622-mcp-calculator` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/minjunkim622-mcp-calculator/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