Open-source platform combining product analytics, session replay, A/B testing, and feature flags in one toolkit for product engineers.
Queay
$99Starting price
0Popularity
About Queay
Queay is an AI-powered software testing platform that integrates manual testing, test management, UI automation, API testing, and CI/CD execution into a single workflow. It allows QA engineers, testers, developers, and engineering teams to create and execute test cases manually or automatically, attach evidence such as screenshots and videos, track defects, and analyze results within one system. The platform supports both no-code and low-code approaches, enabling users to build UI and API tests by dragging actions onto a canvas or using optional scripting steps like BDD scenarios or YAML. Tests can be run on demand, scheduled, or triggered from CI/CD pipelines, with notifications sent via Slack or Telegram. Queay also offers an MCP server for coding agents to list, trigger, and check test runs directly from an editor. Results and analytics can be shared via public links or pulled into external tools like Jira, Linear, or GitHub using a REST API.
Key features
- Manual test case creation and execution
- UI test automation with Playwright under the hood
- API testing with Postman collection import and JSON Schema validation
- CI/CD pipeline integration for scheduled and triggered test runs
- REST API for pulling test results and analytics into external tools
- MCP server for coding agents to interact with tests
- Self-healing selectors and AI-assisted test generation
- Evidence capture including screenshots, video, and logs
Use cases
- Managing manual and automated test cases in a single workflow
- Running regression suites on a schedule via CI/CD integration
- Automating UI and API tests for continuous delivery pipelines
Pros
- Unified platform combining manual testing, automation, and test management
- Supports both no-code and optional low-code/scripting for test creation
- Integrates with CI/CD pipelines and external tools via REST API
- AI-powered features such as self-healing selectors and AI-assisted test generation
- MCP server enables coding agents to trigger and check tests
Cons
- Free trial limited to 7 days with no credit card required
- No pricing transparency beyond trial and PRO plan
- MCP server described as beta with potential changes
Frequently asked questions about Queay
What is Queay?
Queay is an AI-powered software testing platform that combines manual testing, test management, UI test automation, API testing, and CI/CD execution in one unified QA workflow.
Who is Queay designed for?
Queay is designed for QA engineers, software testers, developers, QA leads, and engineering teams who need to manage both manual and automated testing in a single platform.
Does Queay support no-code testing?
Yes, Queay primarily supports no-code testing by allowing users to build UI and API tests by dragging actions onto a canvas without requiring scripting.
Can Queay integrate with CI/CD pipelines?
Yes, Queay can be triggered from CI/CD pipelines such as GitHub Actions, GitLab, Jenkins, and CircleCI, with identical reporting and notifications as manual runs.
Does Queay support API testing?
Yes, Queay supports API testing by allowing users to import Postman collections or cURL commands, generate test scenarios, and run deterministic API contract checks.
What is Queay's MCP server used for?
Queay's MCP server enables coding agents like Claude Code or GitHub Copilot to list test scripts, trigger runs, and check results directly from an editor without leaving the workflow.
