Provide coding standards context so AI-generated code follows team conventions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Dev Standards" yet — see the docs or source repo.
Using this project's development standards, generate a TypeScript Express route handler for creating user accounts. Include input validation, standardized error handling, logging, and follow the existing naming and folder conventions.
A TypeScript route implementation aligned with project conventions, including validation, error handling, and logging structure.
Review the following Python service code and refactor it according to the team's coding standards: normalize naming, split overly long functions, add necessary comments, and point out where it violates best practices.
A refactored code version plus a checklist explaining which changes were made to satisfy team standards and best practices.
Based on the project's testing standards, generate unit tests for this React component. Use the team's preferred test framework, file organization, naming rules, and assertion style.
A set of unit tests that follows the project's testing standards with consistent structure and naming.
Provides queryable team coding standards and best practices for AI-assisted development.
Connect to the mcp API via MCP to extend AI tool capabilities.
Index local repositories for semantic search and structured code understanding.
Aggregate multiple MCP servers into one unified access point.
Convert any OpenAPI v3 spec into a working MCP server for AI integration.
Provide AI agents with coding standards, testing, planning, and requirements guidance.