AI Support via MCP Server

The Testiny MCP (Model Context Protocol) Server enables seamless integration between AI tools and your Testiny test management data. By implementing the standardized MCP protocol, AI assistants like Claude Desktop and VS Code with Copilot can directly interact with your test cases, create test runs, update results, and manage your entire testing workflow through natural language commands.

This revolutionary approach transforms how teams interact with test management systems. Instead of manually navigating through interfaces, you can simply ask your AI assistant to "Create a regression test run for the mobile app project" or "Generate Selenium code for test case TC-123." The AI assistant understands your intent, accesses the relevant Testiny data, and executes the requested actions automatically.

The MCP server provides comprehensive access to Testiny's core functionality, including project management, test case organization, test execution, and result reporting. With secure API key authentication and OAuth support, your test data remains protected while enabling powerful AI-driven automation capabilities that enhance productivity and reduce manual testing overhead.

The Testiny MCP Server offers comprehensive AI integration capabilities designed to streamline your testing workflow. Connect popular AI tools like Claude Desktop and VS Code with Copilot directly to your Testiny projects, enabling natural language interaction with your test management data. The server supports secure authentication through API keys or OAuth, ensuring your test data remains protected while providing powerful automation capabilities.

AI assistants can perform complex testing operations including creating test runs, updating test results, managing test case folders, and generating detailed test reports. The intelligent code generation feature analyzes your Testiny test cases and creates appropriate automation code for frameworks like Selenium WebDriver, Cypress, and Playwright. This eliminates the manual effort of translating test cases into automation scripts.

Advanced workflow automation enables AI assistants to execute multi-step testing processes through simple natural language commands. Request comprehensive test execution reports, automate regression testing workflows, or generate test documentation - all through conversational AI interaction. The MCP server's standardized protocol ensures compatibility with current and future AI tools, making it a future-proof solution for AI-powered test management.

The Testiny MCP Server provides eight powerful tools that enable AI assistants to interact comprehensively with your test management data. Project management tools include listProjects for retrieving accessible projects, listTestCaseFolders for browsing folder structures, listTestCases for finding test cases with keyword filtering, and listTestRuns for accessing test execution history.

Test execution tools enable real-time test management through createTestRun for organizing test execution, setTestResult for updating test outcomes (passed, failed, blocked, skipped), getTestStatus for checking current test case status, and addTestResultComment for adding detailed execution notes. These tools work seamlessly together to provide complete test lifecycle management through AI interaction.

Popular AI platforms supported include Claude Desktop with direct MCP configuration, VS Code with Copilot integration, and any MCP-compatible application following the 2025-06-18 protocol standard. The server's flexible architecture ensures compatibility with emerging AI tools, making it a scalable solution for teams adopting AI-driven testing workflows across different development environments.

Transform your testing processes with intelligent automation that understands natural language commands. AI assistants can execute complex multi-step workflows like "Create a Sprint 24 regression test run in the Mobile App project and execute test case TC-123." The AI automatically finds the correct project, creates the test run, executes the test steps, updates results, and adds detailed comments - all from a single conversational request.

Code generation capabilities enable AI assistants to analyze your Testiny test cases and generate appropriate automation code for popular frameworks including Selenium WebDriver, Cypress, Playwright, and Jest. The AI understands test steps, expected results, and generates properly structured automation code with integrated result reporting back to Testiny through the MCP server's setTestResult functionality.

Advanced workflow scenarios include automated regression testing where AI assistants can identify relevant test cases, create test runs, execute tests, analyze results, and generate comprehensive reports. Integration with browser automation tools enables end-to-end testing workflows where AI assistants can perform actual test execution while maintaining real-time synchronization with your Testiny test management data.