> For the complete documentation index, see [llms.txt](https://learning.contextqa.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://learning.contextqa.com/integrations.md).

# Integrations

- [Integrations Overview](https://learning.contextqa.com/integrations/integrations.md): A guide to all the systems ContextQA connects with, including bug trackers, CI/CD pipelines, project management tools, and notification systems.
- [Jira](https://learning.contextqa.com/integrations/jira.md): Connect ContextQA to Jira to generate test cases from tickets, report defects with AI root cause analysis, and sync test execution status bidirectionally.
- [Azure DevOps](https://learning.contextqa.com/integrations/azure-devops.md): How to connect ContextQA with Azure Boards to create work items from test failures and track bugs with full reproduction context.
- [GitHub Actions](https://learning.contextqa.com/integrations/github-actions.md): Prepare GitHub Actions secrets, variables, triggers, and branch protection for a ContextQA test-plan quality gate.
- [Jenkins](https://learning.contextqa.com/integrations/jenkins.md): Prepare Jenkins credentials, pipeline stages, timeouts, and build-result handling for a ContextQA test-plan quality gate.
- [GitLab CI](https://learning.contextqa.com/integrations/gitlab-ci.md): Prepare GitLab CI/CD variables, stages, environments, and result handling for a ContextQA test-plan quality gate.
- [CircleCI](https://learning.contextqa.com/integrations/circleci.md): Prepare CircleCI variables, contexts, workflows, and result handling for a ContextQA test-plan quality gate.
- [Slack](https://learning.contextqa.com/integrations/slack.md): How to configure Slack webhooks in ContextQA so your team receives test run summaries and critical failure alerts in the right channels.
- [Webhooks](https://learning.contextqa.com/integrations/webhooks.md): ContextQA webhook notifications — send test plan results to any HTTP endpoint on completion, enabling integrations with PagerDuty, custom dashboards, and internal tools.


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://learning.contextqa.com/integrations.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.