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524,660 tools. Updated 2026-09-06 17:35

"Generating Unit Tests for Software Development" matching MCP tools:

  • Retrieve the complete universal system prompt for AI software development in one shot. Ideal when you need the entire 40KB payload without progressive disclosure.
    MIT
  • 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.
    Apache 2.0
  • Run Gradle tests and report failures. Executes unit or instrumented tests, returning failing test names and condensed output for quick verification.
    MIT
  • Access a comprehensive Android testing reference for unit tests, Compose UI, Espresso, ViewModel, Room, and Hilt. Call before writing any test to get guidance on setup and strategies.
    MIT
  • Retrieve AESO generating-unit commitment directives for any date range up to 31 days. Paginated output includes issue, begin, operation-start, and operation-end timestamps in America/Edmonton.
    MIT

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  • List existing E2E test scenarios to audit coverage before generating new tests. Supports filtering by project and pagination.
    MIT
  • Run Godot unit tests (GUT) headlessly, receiving a pass/fail summary and console output.
    MIT
  • Run local JVM unit tests in Android projects and get a parsed pass/fail summary with failure messages.
    MIT
  • Check pricing for Fal.ai models before generating content. Returns cost per unit (image/video/second) in USD to help users estimate expenses.
    MIT
  • Generate thorough unit tests for a source file, targeting frameworks like pytest, unittest, or jest. Specify the file and framework to produce tests directly or save them to an output file.
    MIT
  • Search CI test events (unit tests, integration tests) with query filtering. Specify time range, query, and sort order to retrieve relevant test results.
    MIT
  • Create and manage unit tests, integration tests, and test environments for Dojo applications to ensure system and model correctness using expert guidance on Starknet.
    MIT
  • Implement code using strict Test-Driven Development methodology by writing tests before production code. Supports iterative TDD cycles with session resume functionality.
    MIT
  • Run unit and UI tests for a specific Xcode scheme and destination. Define test scope by selecting targets or skipping classes, and set a custom timeout to control execution duration.
    MIT
  • Generate unit, integration, and edge-case tests with mocking suggestions for Jest, Vitest, Pytest, or Mocha. Provide your code and select a test type to get comprehensive test cases.
    MIT
  • Run unit tests for Android or iOS applications. Returns structured test results with pass/fail status and failure details.
    MIT
  • Use Exa.ai to research software development topics. Provide a detailed research question or problem to get current information and practical implementation guidance.
    TypeScript
    MIT