# Allure Test Reports

> Use this tool when you need to analyze test results, track test execution metrics, or generate custom reports from Allure test reports. It provides a structured API to access test execution data, including test cases, steps, statuses, and execution timestamps, through a well-organized hierarchical structure. This tool is ideal for development teams seeking to streamline test result analysis and reporting within their AI assistant interface.

Canonical page: https://skillsregistry.net/skills/crisschan-allure  
JSON: https://api.skillsregistry.net/v1/skills/crisschan-allure

## Description

MCP-Allure-Server provides a bridge between AI assistants and Allure test reports, enabling access to test execution data through a structured API. The server exposes a tool for parsing Allure report directories and extracting comprehensive test suite information including test cases, steps, statuses, and execution timestamps. Built with FastMCP, it transforms complex Allure JSON data into a well-organized hierarchical structure that preserves the relationships between test suites, test cases, and their execution details. This implementation is particularly valuable for development teams who need to analyze test results, track test execution metrics, or generate custom reports without leaving their AI assistant interface.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/crisschan-allure)
- **Repository:** <https://github.com/crisschan/mcp-allure>

## 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": "crisschan-allure"
    }
  }
}
```

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