The AI Code Toolkit provides MCP servers and tools to help AI programming agents maintain code consistency, follow conventions, and scale as the codebase expands, including scaffolding templates, architectural patterns, and validation rules

This is an MCP server that provides deterministic technology stack recommendations for AI tools such as Claude and Cursor. It includes free tools and professional features that require an API key, helping developers choose suitable technology combinations according to project types and scales.

The Scalekit MCP server is a service that provides a comprehensive toolset for the identity and access management platform, supporting functions such as environment management, organizational user management, connection configuration, and MCP server registration. It enables standardized interaction between AI assistants and the Scalekit platform through OAuth security authentication.

Lookerctl is a comprehensive command - line tool for large - scale management and optimization of LookML. It provides functions such as local fast verification, usage analysis, dependency mapping, scientific testing, and AI integration, and supports the MCP server for use by AI agents.

The Code Line Counter MCP Tool is used to track and analyze the scale of AI-generated code, supporting multi-language code line counting and data analysis