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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
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Use ContextQA with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Automate testing via ContextQA. manage test suites, track AI-healing executions, trigger automated runs, and audit API tests directly from any AI agent.

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 ContextQA capability set.

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

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through ContextQA.

  1. 01

    Get project

    Retrieve explicit Project mapping UUIDs analyzing execution spaces limitlessly

  2. 02

    List environments

    List static configurations mapping Environment target layers mapping limits

  3. 03

    List projects

    Identify bounded ContextQA test environments grouping automated validations

  4. 04

    List suites

    Perform structural extraction matching asynchronous GUI test Suites payloads

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through ContextQA.

  1. 05

    Trigger run

    Dispatch a live testing command routing explicit Jobs against pipelines

  2. 06

    List API tests

    Extracts native REST & OpenAPI testing configurations natively

  3. 07

    Get case

    Validate Data Science object extraction tracking explicit steps boundaries

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through ContextQA.

  1. 08

    Get execution

    Execute static queries targeting exactly specific AI-healing Run states

  2. 09

    List cases

    Discover explicit routing limits structuring ContextQA cases trees

  3. 10

    List executions

    Inspect deep internal interaction tracking explicit globalThis Run chunks

Observed, not estimated

854ms average. Fast in production.

ContextQA is checked daily against the live service.

Daily averagePeak 990ms
Aug 20Today
Fastest day
687ms
Slowest day
990ms
14-day trend
Slowing+16%

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 ContextQA, so you can see the experience inside your AI.

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

ContextQA Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_arIg6fOatFWYf4ywr6Asm6h013dTDEa83NCzuGoP/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 — ContextQA capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "contextqa-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_arIg6fOatFWYf4ywr6Asm6h013dTDEa83NCzuGoP/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 ContextQA owners ask.

  • 01

    Can my agent help me identify the root cause of a failed test case?

    Yes. Use the 'get_case' capability to resolve the AI root-cause model for a specific test. The agent retrieves the definitions and AI insights to confirm exactly why a boundary was breached during execution.

  • 02

    How do I trigger a full test suite run via chat?

    Provide the 'project_id' and 'suite_id' to your agent and use the 'trigger_run' mutation. The agent will command the backend to queue the tests against live ContextQA test clusters instantly.

  • 03

    Can I see screen captures of failed test steps through the agent?

    The 'get_execution' capability retrieves detailed logs tracking failing step boundaries. Where supported by ContextQA, the agent can surface the associated physical screen capture limits to help you visualize the failure.

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