# mcp-xray-cloud

> Use this tool when you need to integrate AI assistants with Jira test management, enabling natural language interaction with tests and test plans. It connects AI agents to Xray Cloud, allowing for seamless execution and CI result imports. Ideal for automating test management workflows and enhancing collaboration between AI assistants and Jira users.

Canonical page: https://skillsregistry.net/skills/remynln-mcp-xray-cloud  
JSON: https://api.skillsregistry.net/v1/skills/remynln-mcp-xray-cloud

## Description

An MCP server that connects AI assistants to Xray Cloud for Jira test management, enabling natural language interaction with tests, test plans, executions, and CI result imports.

## 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/fd312v98vu)
- **Repository:** <https://github.com/remynln/mcp-xray-cloud>

## 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": "remynln-mcp-xray-cloud"
    }
  }
}
```

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