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Build API collections, run requests, and export e2e flows to CI.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Reqly" yet — see the docs or source repo.
Scan this codebase for API routes and request definitions, then organize them into executable API collections grouped by module.
A set of executable API collections grouped by module with runnable request definitions.
Using the signup, login, and order APIs, create an end-to-end test flow with variable passing, assertions, and failure messages.
An executable end-to-end API test flow covering the main business path and validation logic.
Export the existing API collections and test flows as a GitHub Actions workflow that runs automatically on every pull request.
GitHub Actions CI configuration files and steps ready to commit to the repository.
Use one MCP server for files, web search, screenshots, and planning workflows.
Search code repositories and API specs to quickly find files, content, and endpoints.
Analyze repositories, plan tests, and generate Playwright end-to-end test cases.
Expose GitHub search, issue handling, and PR review to AI agents.
Recommend suitable APIs for AI agents with structured integration-ready endpoint details.
Gives AI coding agents repository intelligence, dependency analysis, and impact insights.