I Built an MCP Server for Spring Boot Code Intelligence

Built Devintel — a Spring Boot intelligence MCP server that allows AI agents like Claude, Cursor, and GitHub Copilot to statically analyze Spring Boot projects using deterministic AST analysis. Instead of relying on an LLM running on the server, this project performs direct code intelligence extraction and exposes it through MCP tools. Current tools: mapEndpoints detectN1Issues analyzeTransactionalBoundaries analyzeSecurityIssues runFullAnalysis Tech stack: Java 21 Spring Boot Spring AI MCP Server JavaParser AST JGit Supports: Public GitHub repositories Local project analysis Agent-native workflows Disclaimer: SonarQube and related MCP integrations already exist in the ecosystem for broader static analysis workflows. This project takes a different direction — lightweight, Spring Boot-focused, agent-native analysis designed specifically for MCP-based AI workflows and extensible custom intelligence tooling.