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Create, review, and manage specs for AI-driven coding and testing workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "spec-coding-mcp" yet — see the docs or source repo.
Create a development spec for the 'lock account after repeated failed logins' feature, including background, user stories, API changes, acceptance criteria, test cases, and risks.
A structured feature spec that can directly guide AI code and test generation.
Review this payment module refactor spec, identify ambiguities, missing edge cases, incomplete test scenarios, and provide revision suggestions.
A review checklist highlighting issues, impact areas, and recommended improvements.
Based on this order cancellation spec, list the key unit tests, integration tests, and failure scenarios to cover, then prioritize them.
A prioritized test plan for downstream automated test generation or execution.
Create, query, validate, and analyze software specifications with AI guidance.
Enable AI to read and write SpecDown specs for spec-driven development.
Audit any MCP server.json for official MCP spec compliance.
Validate and fix OpenAPI specs by linting API definitions with Spectral.
Provides queryable team coding standards and best practices for AI-assisted development.
Connect AI tools to read and integrate Specifai project documents.