ContextQA Connector for AI agents.
10 live capabilities
Manage automated test suites and monitor AI-healing results in real time.
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Why people use ContextQA
ContextQA Automated Testing for Faster QA Cycles
ContextQA brings that whole process into your chat. You can ask your agent to trigger a suite, list your projects, or show you the exact step where a test broke. You get a clear picture of your release readiness without the tab-switching fatigue.
What Vinkius changes
You can manage your entire automated testing pipeline through a single chat interface.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Debugging a failed login flow
A QA Engineer needs to see why a login flow failed.
- Real-world use case 02
Verifying an API payload
A Developer wants to verify an API payload.
- Real-world use case 03
Checking production suite status
A DevOps lead wants to check the status of the production suite.
Complete set · 10capabilities
The complete ContextQA capability set.
These are the exact actions your AI can choose when you ask it to work with ContextQA.
01—04
4 capabilities in this set.
Part of 10 available through ContextQA.
- 01 Capability
List executions
Inspect internal interaction tracking for global Run chunks. Use this to see a high level view of all your recent runs.
- 02 Capability
List projects
Identify bounded ContextQA test environments and their automated validations. This helps you see all your test environments at once.
- 03 Capability
Get project
Retrieve specific Project mapping UUIDs to analyze execution spaces. Use this to get the exact ID for a project you want to manage.
- 04 Capability
Get execution
Run static queries to target specific AI-healing Run states. This is how you see the detailed status of a single test run.
05—07
3 capabilities in this set.
Part of 10 available through ContextQA.
- 05 Capability
List environments
List static configurations and mapping limits for target layers. Use this to see your available testing environments.
- 06 Capability
List suites
Extract structural data for asynchronous GUI test Suites. This gives you a clear overview of your GUI test coverage.
- 07 Capability
List cases
Discover the routing limits and structures of ContextQA cases. Use this to see how your specific test cases are organized.
08—10
3 capabilities in this set.
Part of 10 available through ContextQA.
- 08 Capability
Get case
Validate Data Science object extraction and track specific step boundaries. This helps you see the exact steps within a single case.
- 09 Capability
List api tests
Extract native REST and OpenAPI configurations. This allows you to audit your API tests quickly.
- 10 Capability
Trigger run
Dispatch live testing commands to route Jobs against pipelines. Use this to start a new test run immediately.
Set up in minutes
One URL. Then ask ContextQA to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use ContextQA from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_arIg6fOatFWYf4ywr6Asm6h013dTDEa83NCzuGoP/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it ContextQA, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable ContextQA for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_arIg6fOatFWYf4ywr6Asm6h013dTDEa83NCzuGoP/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the ContextQA URL.
- Step 03
Save and start
Save the connection and enable ContextQA in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"contextqa": {
"url": "https://edge.vinkius.com/vk_preview_arIg6fOatFWYf4ywr6Asm6h013dTDEa83NCzuGoP/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using ContextQA
Open Agent mode in chat and ask: "Using ContextQA, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"contextqa": {
"url": "https://edge.vinkius.com/vk_preview_arIg6fOatFWYf4ywr6Asm6h013dTDEa83NCzuGoP/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using ContextQA
Ask Copilot: "Using ContextQA, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"contextqa": {
"url": "https://edge.vinkius.com/vk_preview_arIg6fOatFWYf4ywr6Asm6h013dTDEa83NCzuGoP/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using ContextQA
Open Cascade and ask: "Using ContextQA, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"contextqa": {
"url": "https://edge.vinkius.com/vk_preview_arIg6fOatFWYf4ywr6Asm6h013dTDEa83NCzuGoP/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using ContextQA
Ask Cline: "Using ContextQA, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add contextqa --transport http "https://edge.vinkius.com/vk_preview_arIg6fOatFWYf4ywr6Asm6h013dTDEa83NCzuGoP/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using ContextQA
Ask Claude: "Using ContextQA, show me...". 10 tools are ready
Where the request belongs
Work ContextQA can move forward.
QA Engineers who are tired of context-switching between test dashboards and IDEs. It's for the person who needs to verify release readiness in seconds rather than minutes.
QA Engineer
Triggers test runs and checks AI-healing results during a sprint.
DevOps Engineer
Audits test suite coverage and monitors pipeline statuses.
Software Developer
Verifies API payloads and inspects failed test cases in the IDE.
Product Owner
Monitors release readiness and audits execution history for stakeholders.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsTestim
Trigger automated AI tests, inspect execution logs, and manage branches natively via your AI agent.
PractiTest
Manage your PractiTest projects, tests, and runs directly using AI Agents.
Qase
Bring Qase test management into your AI workflow. list projects, track test runs, inspect cases, and monitor defects directly from your chat.
Mabl (AI-Powered Test Automation)
Manage E2E testing via Mabl. trigger test plans, monitor execution results, and perform AI-driven failure analysis.
Applitools
Bring AI-powered visual testing to your AI agent. inspect test batches, review UI diffs, and manage your visual baselines naturally.
Katalon TestOps (AI Test Management)
Manage test orchestration via Katalon TestOps. rerun test runs, monitor execution results, and audit software releases.
Bring your own AI
Change the model, client or framework. Keep ContextQA connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about ContextQA.
The practical details behind the request, access and result.
How can ContextQA help my QA team?
It lets you manage test suites and monitor AI-healing results directly in your AI client. You can trigger runs and audit failures without leaving your workspace.
Can I use ContextQA to check my API tests?
Yes, you can use it to extract REST and OpenAPI configurations and verify that your payloads match your specs.
Does ContextQA support AI-healing?
Yes, it allows you to inspect specific AI-healing states and see exactly where the healing process succeeded or failed.
Can I trigger test runs with ContextQA?
You can dispatch live testing commands to your test clusters using natural language prompts.
How do I see why a specific test case failed?
You can ask your agent to inspect a specific execution to see the root-cause models and screen captures.
Can ContextQA help with my GUI tests?
Yes, it can perform structural extraction on your GUI test suites and help you identify points of failure.
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.
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.
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.
One connection away
Give your agent a direct line to ContextQA.
Connect ContextQA once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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