MCP For Claude Marketplace
ContextQA

ContextQA MCP Connector for Claude

A+

Automate testing via ContextQA — manage test suites, track AI-healing executions, trigger automated runs, and audit API tests directly from any AI agent.

10 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Connect your ContextQA account to any AI agent and take full control of your context-aware AI testing platform through natural conversation.

What you can do

  • Project & Suite Management — List bounded test environments and perform structural extraction of GUI test suites across your projects
  • AI-Healing Executions — Monitor active test runs and inspect specific AI-healing states, including failing step boundaries and screen captures
  • Automated Triggers — Dispatch live testing commands to queue suites against ContextQA test clusters directly from your workspace
  • API & Swagger Testing — Enumerate automated HTTP assertions and explicitly verify structural payloads against OpenAPI configurations
  • Environment Auditing — List physical runtime URLs and group active contexts to verify testing boundaries across different layers
  • Test Case Inspection — Resolve AI root-cause models and validate specific case definitions to identify precise points of failure

How it works

  1. Subscribe to this server
  2. Enter your ContextQA API Key (found in your Dashboard Settings > API Keys)
  3. Start managing your automated testing from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • QA Engineers — trigger test runs and monitor AI-healing execution results without leaving the chat
  • DevOps Teams — audit test suite coverage and monitor pipeline integration statuses in real-time
  • Software Developers — verify API test payloads and inspect failed test case boundaries directly from the IDE
  • Product Owners — monitor release readiness and audit test execution history using natural language
automated-testingai-healingtest-automationqa-testingsoftware-quality

10 tools expose this connector's capabilities to your AI agent.

list_projects

Identify bounded ContextQA test environments grouping automated validations

get_project

Retrieve explicit Project mapping UUIDs analyzing execution spaces limitlessly

list_suites

Perform structural extraction matching asynchronous GUI test Suites payloads

list_cases

Discover explicit routing limits structuring ContextQA cases trees

get_case

Validate Data Science object extraction tracking explicit steps boundaries

list_executions

Inspect deep internal interaction tracking explicit global Run chunks

get_execution

Execute static queries targeting exactly specific AI-healing Run states

list_environments

List static configurations mapping Environment target layers mapping limits

list_api_tests

Extracts native REST & OpenAPI testing configurations natively

trigger_run

Dispatch a live testing command routing explicit Jobs against pipelines

See how to talk to your AI agent using ContextQA.

List all test suites for project 'vinkius-app-prod'

I found 4 suites in 'vinkius-app-prod': 'Checkout-Flow', 'User-Onboarding', 'API-Security-Scan', and 'Mobile-Sanity'. Which one would you like to audit or trigger?

Trigger a run for suite 'Checkout-Flow' in project 'vinkius-app-prod'

Test run triggered! Suite 'Checkout-Flow' has been queued. You can monitor the progress using Execution ID 'exec_123'. I will notify you once the AI-healing analysis is complete.

Show me why the last execution of project 'mobile-app' failed

Analyzing last execution for 'mobile-app'... It failed at step 5: 'Click Login Button'. The element was not found. ContextQA's AI-healing attempted to locate it but failed due to a structural change in the DOM.

Yes. Use the 'get_case' tool 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.

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