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Connect AI agents to SonarQube for code quality and security analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "sonarqube-mcp-server" yet — see the docs or source repo.
Use the SonarQube MCP Server to analyze the latest branch of this project, summarize the main code smells, vulnerabilities, and duplicated code, and rank them by severity.
A severity-ranked issue list with issue types, affected areas, and prioritized fix recommendations.
Use the SonarQube MCP Server to check whether this PR passes the quality gate, and explain failed conditions, related files, and fix suggestions.
A PR quality gate summary listing failed metrics, related code locations, and actionable fixes.
Use the SonarQube MCP Server to identify security hotspots and high-risk vulnerabilities in the project, and provide the reason and mitigation for each risk.
A security risk report with vulnerability levels, root-cause explanations, and recommended mitigations or fixes.
Access SonarCloud metrics, issues, and project data for code quality workflows.
Integrate multi-client SonarQube analysis for code quality, branches, and issue management.
Run local static analysis for TypeScript, JavaScript, and C# repositories.
Connect Sonar models for real-time web search and answers in MCP clients.
Access Codescan projects, metrics, and filtered issue data through AI.
Test API compatibility for AI agents with scores, grades, and recommendations.