# power_defect_analysis_mcp

> power_defect_analysis_mcp — gaoshang0408-power-defect-analysis-mcp. Use this tool when you need to analyze thermal power plant defects and work orders, and identify trends or patterns in equipment failures. It provides a set of parameterized SQL tools to query and summarize defect data, with secure and bounded access to sensitive information. Ideal for use cases requiring detailed failure analysis, equipment search, and work order management.

Canonical page: https://skillsregistry.net/skills/gaoshang0408-power-defect-analysis-mcp  
JSON: https://api.skillsregistry.net/v1/skills/gaoshang0408-power-defect-analysis-mcp

## Description

Enables querying and analysis of thermal power plant defects and work orders through fixed, parameterized SQL tools. Provides 8 core tools plus extensions for equipment search, defect/work order details, summaries, and failure analysis, with strict data boundaries and security.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wyn9r27mi6)
- **Repository:** <https://github.com/gaoshang0408/power_defect_analysis_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": "gaoshang0408-power-defect-analysis-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gaoshang0408-power-defect-analysis-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gaoshang0408-power-defect-analysis-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
