# xray-cloud-mcp

> Use this tool when you need to manage and track test executions and results in Jira, enabling seamless integration of automation testing with test management. It solves problems of manual test result tracking and synchronization, providing a centralized platform for test management. The tool accepts automation results as input and outputs organized test data, test sets, and executions in Jira.

Canonical page: https://skillsregistry.net/skills/madhawar-xray-mcp-azure  
JSON: https://api.skillsregistry.net/v1/skills/madhawar-xray-mcp-azure

## Description

MCP server for Xray Cloud test management that enables importing automation results and managing tests, test executions, and test sets in Jira.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ddrliqy0pz)
- **Repository:** <https://github.com/madhawar/xray-mcp-azure>

## 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": "madhawar-xray-mcp-azure"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/madhawar-xray-mcp-azure` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/madhawar-xray-mcp-azure/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
