A Model Context Protocol server that enhances AI-generated code quality through comprehensive analysis across 10 critical dimensions, helping identify issues before they become problems.
A Model Context Protocol (MCP) server for advanced code analysis and editing with semantic search capabilities, enabling AI assistants to perform complex code operations through a standardized interface.
A universal MCP server that acts as a code quality gate for AI assistants, providing pre-generation guidance, post-generation review, and root cause analysis to improve code quality.
A Model Context Protocol server that provides development standards and best practices context to AI coding assistants, ensuring generated code adheres to team/project conventions.
An MCP server that extends AI coding assistants with deterministic, algorithmic capabilities such as code analysis, fault localization, and formal verification, enabling an autonomous engineering team within the IDE.
An MCP server that provides local code quality analysis for AI coding assistants, supporting file analysis, git diff review, and full project scanning with quality scoring.