# manufacturing-defect-mcp

> Use this tool when you need to investigate manufacturing defects using knowledge graphs and graph analytics. It solves problems related to defect identification, case similarity analysis, and report generation by providing LLM agents with context retrieval, similar case finding, and report generation capabilities from manufacturing data. The tool accepts manufacturing data as input and outputs investigation reports and similar case recommendations.

Canonical page: https://skillsregistry.net/skills/darrellathaya-manufacturing-defect-mcp  
JSON: https://api.skillsregistry.net/v1/skills/darrellathaya-manufacturing-defect-mcp

## Description

MCP server for manufacturing defect investigation using knowledge graphs and graph analytics. Enables LLM agents to retrieve context, find similar cases, and generate investigation reports from manufacturing data.

## 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:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/eiewvujk92)
- **Repository:** <https://github.com/darrellathaya/manufacturing-defect-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": "darrellathaya-manufacturing-defect-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/darrellathaya-manufacturing-defect-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/darrellathaya-manufacturing-defect-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