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Gives AI agents project conventions to keep development consistent across teams.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Code Conventions Server" yet — see the docs or source repo.
Read the current project's code conventions, tech stack, and architectural patterns, then generate the implementation for a user registration API. Ensure the folder structure, naming, error handling, and logging style all follow project standards.
A draft implementation or code output that matches the project's existing conventions.
Check this newly submitted code against the project conventions. Identify any violations in naming, layering, dependency usage, and testing requirements, and provide fix suggestions.
A convention-based review report with issues found and actionable recommendations.
Summarize this project's main tech stack, module boundaries, coding style, and common development conventions into a concise onboarding guide for new engineers.
A clear onboarding guide covering the project's development standards and working rules.
Provides queryable team coding standards and best practices for AI-assisted development.
Provide AI agents with coding standards, testing, planning, and requirements guidance.
Provide coding standards context so AI-generated code follows team conventions.
Give AI coding agents filesystem, Git, database, and compute tools via MCP.
Plan, validate, and track software projects with Conducted development rituals.
Create, review, and manage specs for AI-driven coding and testing workflows.