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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.
Guides AI coding tools through spec-first development workflows and quality checks.
Create, query, validate, and analyze software specifications with AI guidance.
Guide teams from specs to implementation with a structured development workflow.
Enable AI to read and write SpecDown specs for spec-driven development.
Audit any MCP server.json for official MCP spec compliance.
Learn, scaffold, and compile TypeSpec projects for building MCP servers.