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202,295 tools. Last updated 2026-06-14 12:08

"Jest" matching MCP tools:

  • Initialize Jest testing configuration for JavaScript projects by running npx jest --init in a specified directory.
  • Verify code changes by running the test suite with auto-detected runner (Pest, PHPUnit, Jest, etc.). Specify filter or path to narrow tests, and get exit code, runner name, and output tail.
    MIT
  • Compares current code snapshot against a baseline to detect added, removed, or changed components and their contracts. Provides a structured diff to verify changes after editing, like a snapshot test for code structure.
    MIT
  • Generate test skeletons for source code using Jest, pytest, or vitest. Writes new test stubs for public functions to scaffold tests in untested modules.
    MIT
  • Run smoke tests to validate project builds and confirm tests pass before commit or deploy. Automatically detects pytest, jest, vitest, or mocha from project configuration.
    MIT

Matching MCP Servers

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    A TypeScript-based test implementation for the Model Context Protocol (MCP) with example configurations and Jest test cases. Provides a development foundation for building and testing MCP server functionality.
    Last updated
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    MIT

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  • Run data tests on models, sources, snapshots, and seeds, and execute unit tests on SQL models to ensure data quality and accuracy in your dbt projects.
  • Launch interactive test recording to transcribe browser actions into runnable test code. Use to build baseline happy-path tests by clicking through complex UI flows.
    MIT
  • Execute test suites under the QA runner and generate structured reports with exit codes, logs, and flaky detection. Supports optional filter to target specific tests across pytest, Jest, Cypress, Go, and Maestro.
    MIT
  • Re-run only the tests that failed in the previous run, supporting pytest, Jest, Cypress, Go, and Maestro. Faster than a full suite, ideal for iterative bug fixes.
    MIT
  • Query real GitHub migration data to identify which packages developers are switching from and to. Validate technology choices using ground-truth analysis of package.json and requirements.txt diffs.
    MIT
  • Convert candidate test case descriptions into test skeleton files (pytest-playwright, Jest, etc.) with optional pre-filled selectors from URL and module analysis.
    MIT
  • Test any REST API endpoint and receive detailed response data including status, headers, body, timing, and validation messages. Handles authentication and custom headers via configuration.
    MIT
  • Evaluate file predicates such as existence, type, and permissions. Returns structured JSON with boolean result and exit code for conditional logic in scripts.
    MIT
  • Execute unit and UI tests for Xcode projects with smart defaults that remember successful configurations and suggest optimal simulators, providing detailed test metrics with progressive disclosure to prevent token overflow.
    MIT
  • Lists all executable tests in a project using native collection mechanisms (pytest --collect-only, Jest --listTests, etc.). Returns a line-by-line list of node IDs or filenames to verify test coverage before running or generating tests.
    MIT