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Run a structured four-stage AI software workflow from requirements to testing.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "SpecFlow MCP Server" yet — see the docs or source repo.
Use SpecFlow's requirements analysis stage to define user roles, core requirements, edge cases, and acceptance criteria for a team task board feature.
A structured requirements document with roles, scenarios, features, and acceptance criteria.
Based on the following requirements, enter SpecFlow's design stage and provide system architecture, module breakdown, API design, data models, and tech stack recommendations.
A clear technical design spec ready for engineering review and implementation planning.
Use SpecFlow's implementation and testing stages to generate task breakdowns, sample code structure, test cases, and a defect checklist for this login module.
Actionable development tasks, code organization guidance, and a systematic test plan.
Create, review, and manage specs for AI-driven coding and testing workflows.
Create, query, validate, and analyze software specifications with AI guidance.
Simulate dynamic actions for any query with persistent state across sessions.
Run API contract tests, resiliency checks, and mocks through natural language.
Automate QA with generated scenarios, Playwright tests, execution, and GitHub bug reports.
Run and manage API testing workflows through natural language commands.