Keep AI-generated code healthy and maintainable
CodeHealth MCP Server ensures agents and AI coding assistants write maintainable, production-ready code without introducing technical debt. Using deterministic CodeHealth feedback, it guides agents to spot risks, improve unhealthy code, and refactor toward clear quality targets. Run it locally and keep full control of your workflow while making legacy systems more AI-ready. The result is more reliable AI-generated code, safer refactoring, and greater trust in real engineering workflows.
The MCP server acts as an automated quality gate that continuously evaluates AI-generated changes against objective maintainability signals. When risk increases, it provides feedback so the AI adjusts and retries in real time, enabling teams to enforce maintainability standards without significant manual oversight.
CodeScene links CodeHealth™ scores to business outcomes via validated statistical models, exposing ROI impact on velocity, defect rates, and maintenance costs. This enables teams to estimate how improving code health affects delivery speed and justify refactoring investments to stakeholders.
CodeHealth MCP Server identifies targeted design issues and enables refactoring in small, measurable steps verified by CodeHealth™ metrics. This helps AI assistants navigate legacy code complexity, improving refactoring quality by working on modular, easier-to-reason-about code structures.
CodeHealth MCP Server provides real-time CodeHealth™ checks of AI-generated code, detecting maintainability risks and returning structured feedback that instructs AI how to fix issues. This creates a self-correcting loop where AI refactors code until CodeHealth™ thresholds are met, improving fix rates from ~20% to 90-100% and reducing defect risk by 60%.
The MCP server is model-agnostic and works with any AI coding assistant supporting the Model Context Protocol standard, including GitHub Copilot, Claude, Cursor, Codeium, and others. It runs fully locally under user control, ensuring code privacy while enabling seamless integration into preferred development tools.