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

"Vitest" matching MCP tools:

  • Execute Vitest tests with structured JSON output and optional log capture. Supports monorepos through workspace configuration. Set the project root before use and specify a test target to prevent full project runs.
    MIT
  • 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
  • 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
  • Execute JavaScript to query Gaffer test and coverage data, analyze project health, debug failures, and identify untested code areas using codemode API functions.
    MIT
  • Search Forge's stored patterns to find previously learned conventions, failure modes, and successful approaches for project guidance and debugging.
    MIT

Matching MCP Servers

  • Execute terminal commands and wait for results. Use the run action to send input, wait for a pattern or quiet period, then return output. For incremental reading or sending, use read/send actions.
    MIT
  • Save learned patterns like test commands and failure diagnostics to persistent memory for future project runs, preventing duplicate entries to maintain efficiency.
    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
  • Submit autonomous tasks for AI to execute continuously until completion criteria are met. Define purpose, desired outcomes, verifiable completion conditions, and project context.
    MIT
  • Analyze test coverage to identify untested lines, functions, branches, and statements. Get actionable insights and recommendations for improving coverage, with automatic exclusion of non-production files.
    MIT
  • Discover test files matching .test.* and .spec.* patterns recursively. Get structured file info with absolute and relative paths to understand test organization and coverage. Optionally limit search to a specific directory.
    MIT
  • Run tests (Vitest, Jest, Pytest, Cargo, Go) and get pass/fail results with failure locations. Uses a 30-second cache.
    MIT
  • Generate unit tests for any code snippet using Jest, Vitest, or Mocha. Automatically includes boundary cases and mocks.
    MIT
  • Generate a complete Helix-pattern web component scaffold including Lit class, CEM annotations, test stub, Storybook story, and CSS. Auto-detects tag prefix and base class from the library's Custom Elements Manifest.
    MIT
  • Specify the absolute path to the project root directory as a necessary first step to enable all subsequent Vitest testing operations.
    MIT
  • Generates a React component with shadcn/ui patterns, optionally including TypeScript types, Vitest tests, and Storybook stories.
    MIT
  • Generate test stubs from acceptance criteria in SPEC.md and TASKS.md, with traceability to requirement IDs. Supports six test frameworks: vitest, jest, playwright, pytest, junit, xunit.
  • Analyze test coverage metrics for JavaScript/TypeScript repositories to identify gaps and improve testing quality by detecting frameworks like Jest, Vitest, and Cypress.