CodeScene MCP Server

CodeScene MCP Server brings CodeScene's patented code health analysis capabilities into AI-powered development environments through the Model Context Protocol (MCP). It enables AI coding assistants to access real-time CodeHealth™ scores, hotspot analysis, and technical debt insights directly within the IDE or agent workflow. By connecting CodeScene's behavioral code analysis engine to MCP-compatible tools, developers get contextual, data-driven feedback without leaving their coding environment. The server supports both cloud and on-premises CodeScene deployments.

• CodeHealth™ Analysis — Exposes CodeScene's 1–10 code health scoring system, backed by peer-reviewed research, to AI assistants for real-time quality feedback.
• Hotspot Detection — Surfaces the most frequently changed, low-health files so AI tools can prioritize refactoring recommendations with maximum ROI.
• Technical Debt Insights — Delivers prioritized technical debt data, complexity trends, and refactoring targets directly into MCP-compatible AI coding workflows.
• Knowledge Distribution — Provides organizational insights on knowledge concentration and personnel risk, enabling AI tools to flag offboarding and onboarding risks.
• Quality Gates Integration — Allows AI assistants to enforce CodeScene's code quality profiles and PR/merge request gates as part of automated review pipelines.
• Multi-language Support — Works across 30+ programming languages, making it suitable for polyglot codebases and diverse engineering teams.
• Cloud & On-Prem Compatibility — Connects to both CodeScene Cloud and self-managed (on-premises) deployments, fitting any enterprise security model.
• IDE Compatibility — Works with VS Code, JetBrains IDEs, Cursor, Copilot, Windsurf, and other MCP-compatible environments for seamless developer experience.