# shewhart-mcp

> Use this tool when you need to monitor and control processes using statistical methods, solving problems like variability reduction and quality improvement. It takes in process data and parameters, and outputs control charts, capability indices, and tolerance intervals. Use it in contexts where ensuring process stability and capability is crucial, such as manufacturing, quality control, and reliability engineering.

Canonical page: https://skillsregistry.net/skills/bertanucar-shewhart-mcp  
JSON: https://api.skillsregistry.net/v1/skills/bertanucar-shewhart-mcp

## Description

Enables AI agents to perform statistical process control calculations using validated, deterministic tools such as control charts, capability analysis, and tolerance intervals.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lc69gyhwfa)
- **Repository:** <https://github.com/bertanucar/shewhart-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": "bertanucar-shewhart-mcp"
    }
  }
}
```

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