Cucumber Studio
Provides large language models with access to Cucumber Studio's testing platform via Model Context Protocol.
About
The Cucumber Studio Model Context Protocol (MCP) server enables AI assistants to retrieve comprehensive test information directly from Cucumber Studio. It allows large language models to access and analyze test scenarios, reusable action words, detailed test runs, and overall project data, facilitating AI-driven insights and automation within the testing lifecycle.
Key Features
- Exposes an array of specific tools for listing and retrieving detailed project, scenario, action word, and test execution information.
- Offers configurable logging, robust error handling, and full TypeScript type safety with Zod validation.
- 0 GitHub stars
- Supports dual transports (STDIO and Streamable HTTP) with session management.
- Includes hot reload development, comprehensive testing with 82%+ coverage, and Docker support.
- Provides comprehensive access to Cucumber Studio data including projects, scenarios, action words, and test executions.
Use Cases
- Enabling AI assistants to query and retrieve testing assets and results from Cucumber Studio.
- Integrating Cucumber Studio data directly into large language models and AI applications like Claude Desktop.
- Automating the analysis and generation of test-related insights using AI, based on real-time data from the testing platform.
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