AI Testcase Designer
Generates comprehensive API test plans, including positive, negative, and boundary/edge cases, from endpoint metadata using AI and LLMs.
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An AI-powered Model Context Protocol (MCP) server for QA engineers, designed to automate the creation of exhaustive API test plans. It leverages Large Language Models (LLMs) to generate positive, negative, and boundary/edge test cases directly from API endpoint details and payloads, ensuring high-quality and comprehensive test coverage. The tool integrates seamlessly with MCP clients to streamline the test design workflow.
Características Principales
- Generates comprehensive API test plans (positive, negative, boundary/edge cases) from endpoint details.
- Outputs detailed test plans directly into Excel (.xlsx) format.
- Utilizes configurable LLMs (Groq, OpenAI, Anthropic) for prompt-driven test generation.
- Accepts direct endpoint specifications (endpoint, HTTP method, payload) and extra contextual notes.
- Provides detailed logging functionality using Winston.
- 7 GitHub stars
Casos de Uso
- Streamlining the test planning phase of API development.
- Generating detailed test plans for new or existing API endpoints with LLM assistance.
- Automating the creation of API test cases for QA engineers.
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