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Connect ContextQA to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Run, monitor, and debug test suites through your AI agent.

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

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 10 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through ContextQA.

  1. 01

    Get project

    This capability retrieves specific Project mapping UUIDs to help your agent navigate execution spaces.

  2. 02

    List environments

    Use this to get a list of static configurations that map your target environment layers.

  3. 03

    List projects

    This capability identifies your bounded ContextQA test environments and grouped automated validations.

  4. 04

    List suites

    This capability performs structural extraction of your asynchronous GUI test suite payloads.

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through ContextQA.

  1. 05

    Trigger run

    This capability dispatches live testing commands to route specific jobs against your pipelines.

  2. 06

    List API tests

    Use this to extract native REST and OpenAPI testing configurations.

  3. 07

    Get case

    This capability validates Data Science object extraction and tracks specific step boundaries.

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through ContextQA.

  1. 08

    Get execution

    This capability runs static queries to target specific AI-healing run states.

  2. 09

    List cases

    This capability discovers the routing limits within your ContextQA case trees.

  3. 10

    List executions

    Use this to inspect deep internal interaction tracking and global run chunks.

Real work

What teams actually run

01

Rapid Debugging

Ask your agent to find the exact reason a GUI test failed due to a DOM change.

02

Automated API Audits

Have your agent check if your current API payloads match your OpenAPI specs.

03

Pipeline Monitoring

Check the status of active test runs and suite queues during a deployment.

04

Environment Verification

Verify that your testing is hitting the correct runtime URLs and layers.

Automate a task

Put ContextQA to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

ContextQA works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put ContextQA to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

915ms average. Fast in production.

ContextQA is checked daily against the live service.

Daily averagePeak 1029ms
Oct 3Today
Fastest day
732ms
Slowest day
1029ms
14-day trend
Stable-4%

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

Guided setup for Claude? Set up ContextQA in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work ContextQA owners hand off.

This MCP is built for technical teams who need to bridge the gap between automated testing platforms and their development environments.

  • 01

    QA Engineers

    Trigger test runs and monitor AI-healing results without leaving the chat.

  • 02

    DevOps Teams

    Audit test suite coverage and monitor pipeline integration statuses.

  • 03

    Software Developers

    Verify API test payloads and inspect failed test boundaries in the IDE.

FAQ

Questions ContextQA owners ask.

  • 01

    How do I connect my ContextQA account?

    You need to subscribe to the MCP on Vinkius and enter your ContextQA API Key, which you can find in your Dashboard Settings under API Keys.

  • 02

    Which AI clients can I use with this MCP?

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

  • 03

    Can I trigger actual test runs from my chat?

    Yes, you can use the trigger_run capability to dispatch live testing commands to your ContextQA test clusters.

  • 04

    Does this MCP support API testing?

    Yes, it includes capabilities to extract REST and OpenAPI configurations and verify payloads.

  • 05

    What is AI-healing in the context of these tests?

    AI-healing is a feature of ContextQA that attempts to fix tests when elements change. This MCP allows you to inspect the specific states and failures of those healing attempts.

  • 06

    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.

  • 07

    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.

  • 08

    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.

Explore

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