Xray (Test Management)をChatGPTとClaudeに接続

• 01 / 03テスト失敗ステップのデバッグ方法
• 02 / 03テストの不安定な挙動を特定する
• 03 / 03テスト計画の進捗を追跡する方法

最速日

724ms

最遅日

1198ms

14日間の傾向

安定+1%

Xray (Test Management) Connector

準備完了です。MCPクライアントを選択し、セットアップ手順に従ってください。

コネクタリンクhttps://edge.vinkius.com/vk_preview_wm1FHp5m3EdTrKq9bAVa09Uad6Q4L0EjAfSyNZ5Y/mcpコピー

Claude Desktop

以下の手順で数秒で接続できます。

1. 1In Claude Desktop, open Settings → Connectors.
2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3. 3Click Add and start a new chat — Xray (Test Management) capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "xray-test-management-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_wm1FHp5m3EdTrKq9bAVa09Uad6Q4L0EjAfSyNZ5Y/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

各クライアントの手順ガイドはこちらです。 接続方法

Claude向けのガイド付きセットアップ？ Xray (Test Management)をClaudeや他のAIに設定する

このConnectorが対応するすべてのAIクライアントを見る ↑

• 01

  QAエンジニア

  チャットコマンドを通じて、テスト実行結果の監視やテストケースの履歴監査を簡単に行えます。

• 02

  テストマネージャー

  Jiraを操作することなく、テストプランの進捗やテストセットの構成を即座に把握できます。

• 03

  プロダクトオーナー

  リリース前に最新の実行ステータスを確認し、品質基準が満たされているかを迅速に判断できます。

• 04

  開発者

  失敗した実行のテストステップや前提条件を素早く検索し、デバッグ作業を加速させます。

• 01

  What AI clients can I use with this MCP?

  You can use any MCP-compatible client, including Claude, Cursor, and Windsurf.

• 02

  Do I need to manually enter my Jira credentials?

  You will need to provide your Xray Client ID and Client Secret to establish the connection.

• 03

  Can the AI see my specific test steps?

  Yes, the agent can retrieve granular results for specific executions, including individual step outcomes.

• 04

  How does this help with flaky tests?

  The agent can retrieve the complete run history for a single test across multiple cycles, making it easy to spot inconsistent results.

• 05

  Is this just a way to list Jira issues?

  No, this is a specialized capability for Xray that understands test plans, test sets, and execution results specifically.

• 06

  Can I check the specific steps of a test case through the agent?

  Yes. The get_test_details capability allows your AI agent to retrieve the full technical metadata for any test key, including the defined test steps, preconditions, and any linked requirement issues.

• 07

  How do I find out which tests failed in a recent execution?

  You can use the get_execution_details capability. Provide the unique execution key, and your agent will return a granular breakdown of the results, highlighting tests that failed or were aborted.

• 08

  Is it possible to see the progress of a test plan via chat?

  Absolutely. Using the get_test_plan_details capability, your agent can retrieve the scope and real-time progress metrics for any plan ID, helping you monitor overall QA coverage for a release.

• 

  Katalon TestOps (AI Test Management) AIコネクタ

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  TestLink AIコネクタ

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  Zephyr Scale (SmartBear) AIコネクタ

  Manage test cases, cycles, and executions on Zephyr Scale — the high-performance test management tool for Jira

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• 

  Testim AIコネクタ

  Trigger automated AI tests, inspect execution logs, and manage branches natively via your AI agent.

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