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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Qase with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Bring Qase test management into your AI workflow. list projects, track test runs, inspect cases, and monitor defects directly from your chat.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 10 capabilities

The complete Qase capability set.

These are the exact actions your AI can choose when you ask it to work with Qase.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through Qase.

  1. 01

    List plans

    Lists all test plans in a project

  2. 02

    List projects

    Lists all projects in Qase

  3. 03

    List cases

    Lists test cases in a project

  4. 04

    Get project

    Retrieves details for a specific project

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through Qase.

  1. 05

    List runs

    Lists all test runs in a project

  2. 06

    Get case

    Retrieves details for a specific test case

  3. 07

    List suites

    Lists test suites in a project

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through Qase.

  1. 08

    Get run

    Retrieves details for a specific test run

  2. 09

    List defects

    Lists all defects linked to test case failures

  3. 10

    List milestones

    Lists all milestones in a project

Observed, not estimated

859ms average. Fast in production.

Qase is checked daily against the live service.

Daily averagePeak 1000ms
Aug 20Today
Fastest day
722ms
Slowest day
1000ms
14-day trend
Stable+2%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Qase, so you can see the experience inside your AI.

It does not authenticate your account with Qase. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Qase Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_DmxFjwi8voxH7zM7sJq9mvaS2UF2jcPQlNrC5P0K/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  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 — Qase capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "qase-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_DmxFjwi8voxH7zM7sJq9mvaS2UF2jcPQlNrC5P0K/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Qase owners ask.

  • 01

    How do I securely obtain my Qase Token?

    Log in to Qase.io and click your profile icon to go to Account settings. Select API Tokens (or sometimes found under Apps for an integration token), and click Create a new API token. Add a name, click generate, and copy the string provided. It takes exactly 15 seconds. Paste it here to authenticate. Your token is encrypted at rest and injected securely at runtime.

  • 02

    Can my AI write test scripts using the case details?

    Absolutely. Inside your IDE (like Cursor), you can ask the agent to 'Fetch case #12 from Qase project PROJ'. The capability retrieves the precise steps, preconditions, and expected results. The agent can then automatically generate Playwright, Cypress, or Selenium scripts based exactly on those Qase definitions.

  • 03

    How can I check the results of a recent QA cycle?

    Ask your agent to list_runs for your project. This will surface your recent executions. If you notice a run with a high failure rate, ask the agent to pull get_run with that run's ID to dive into specifics and see which modules failed the automated checks.

  • 04

    Can it help me track Jira bugs linked to tests?

    Yes. By using the list_defects capability, your AI can pull all registered defects in a Qase project. If your Qase is integrated with Jira or GitHub, the returned defect data includes external issue links, helping developers immediately map a failed test to the corresponding engineering ticket.

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