# Jira Xray

> Use this tool when you need to automate test case generation and synchronization for Jira/Xray integration, solving problems of manual test case creation and outdated test suites. It takes Jira user stories and comments as input, analyzing and generating Gherkin-formatted test scenarios, and outputs synced test cases with existing linked test issues. Ideal for QA teams seeking to streamline test case management and maintain up-to-date test suites.

Canonical page: https://skillsregistry.net/skills/mendezangelleo-jira-xray  
JSON: https://api.skillsregistry.net/v1/skills/mendezangelleo-jira-xray

## Description

Built by mendezangelleo, this server automates test case generation and synchronization for Jira/Xray integration using Google's Vertex AI. It analyzes Jira user stories and comments to generate Gherkin-formatted test scenarios, then intelligently syncs them with existing linked test issues by comparing content signatures to determine which tests need creation, updates, or are obsolete. The implementation supports ADF (Atlassian Document Format) parsing, handles Spanish/English copy validation scenarios, includes deduplication logic, and provides Jira API integration for test case management, making it useful for QA teams looking to automate test case creation from requirements and maintain synchronized test suites.

## Trust

- **Trust score (0–1):** 0.77
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mendezangelleo-jira-xray)
- **Repository:** <https://github.com/mendezangelleo/mcp-xray-python>

## 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": "mendezangelleo-jira-xray"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mendezangelleo-jira-xray` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mendezangelleo-jira-xray/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