# allure-analysis-mcp

> allure-analysis-mcp — huixin2022-allure-analysis-mcp. Use this tool when you need to analyze Allure test reports and integrate the results with Jira for streamlined defect tracking. It solves problems of manual test report analysis and defect logging, providing automated insights and workflow efficiency. The tool takes Allure test reports as input and outputs actionable data in Jira, ideal for use in agile development and testing contexts with git version control.

Canonical page: https://skillsregistry.net/skills/huixin2022-allure-analysis-mcp  
JSON: https://api.skillsregistry.net/v1/skills/huixin2022-allure-analysis-mcp

## Description

AI-powered Allure test report analysis with Jira integration

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/huixin2022/allure-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": "huixin2022-allure-analysis-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/huixin2022-allure-analysis-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/huixin2022-allure-analysis-mcp/pull`

---
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
