sapientpants/sonarqube-mcp-server

v1.7.3 Breaking

This release includes breaking changes for platform teams planning a safe upgrade.

Published 0y MCP Developer Tools

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Topics

mcp mcp-server model-context-protocol model-context-protocol-servers sonarcloud sonarqube

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Summary

AI summary

Updates 📈 Quality Metrics, 🐛 Fixed, and 🔧 Technical Details across a mixed release.

Full changelog

🚀 Release v1.7.3

This release includes important improvements to the system health API and code quality enhancements.

🐛 Fixed

System Health API Upgrade: Migrated from deprecated V1 to V2 API to eliminate deprecation warnings
Enhanced Documentation: Added comprehensive JSDoc explaining V2 API response structure and transformation logic
Code Quality: Extracted causes aggregation logic to private helper method for improved readability and testability
Backward Compatibility: Maintained full compatibility while using modern SonarQube health API

🔄 Changed

System health endpoint now uses /api/v2/system/health instead of deprecated /api/system/health
Improved error handling for clustered SonarQube setups with proper causes aggregation from all nodes

📈 Quality Metrics

✅ All 855+ tests passing
✅ 92.39% test coverage maintained
✅ Full CI pipeline validation completed
✅ SonarCloud quality gate passed
✅ CodeQL security analysis passed
✅ Snyk vulnerability scanning passed

📋 Compatibility

Compatible with all supported SonarQube versions
No breaking changes for consumers
Seamless upgrade from v1.7.2

🔧 Technical Details

Handles V2 API response structure differences (status + nodes with causes)
Aggregates causes from all nodes in clustered SonarQube deployments
Maintains existing SonarQubeHealthStatus interface for backward compatibility
Enhanced with comprehensive JSDoc documentation for future maintainers

Full Changelog: https://github.com/sapientpants/sonarqube-mcp-server/compare/v1.7.0...v1.7.3

🤖 Generated with Claude Code

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About sapientpants/sonarqube-mcp-server

A Model Context Protocol (MCP) server that integrates with SonarQube to provide AI assistants with access to code quality metrics, issues, and quality gate statuses

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