A Model Context Protocol (MCP) server that integrates with SonarQube/SonarCloud to expose code-quality data (metrics, issues, hotspots, quality-gates, etc.) to AI assistants over stdio or HTTP.
https://github.com/sapientpants/sonarqube-mcp-serverStop context-switching between your AI assistant and SonarQube dashboards. This MCP server brings your entire code quality analysis workflow directly into Claude Desktop, transforming how you investigate issues, review security hotspots, and maintain code standards.
Instead of manually navigating SonarQube's web interface to check code coverage, hunt down critical bugs, or review security vulnerabilities, you can now ask Claude directly:
The server exposes SonarQube's full API through natural language, turning complex queries into simple conversations.
Rather than clicking through SonarQube's interface to filter by severity, assignee, and creation date, describe what you need: "Critical bugs from the last sprint in the payment service". Get instant results with the context needed to prioritize fixes.
Security hotspot reviews become collaborative. Ask Claude to "List hotspots in the API layer and suggest remediation approaches" - you get both the SonarQube data and AI-powered analysis of potential fixes.
Skip manual dashboard checks. "Check if all my projects pass their quality gates" gives you instant visibility across your entire portfolio, with drill-down capabilities when issues arise.
Code review prep becomes effortless. "Show me new issues in PR #123" pulls the exact data you need without navigating between tools.
The server scales from local development to enterprise deployments:
Local Development: Simple npx setup gets you running in minutes Production Deployment: Docker containers with OAuth 2.0, external IdP integration, and comprehensive audit logging Multi-Project Analysis: Query across projects, organizations, and branches simultaneously Bulk Operations: Manage hundreds of issues with confirmation prompts and comment collection
Sprint Planning: "Get all open issues by team member with effort estimates" - instant workload analysis
Security Audits: "Find all OWASP Top 10 violations with high severity" - targeted security reviews
Technical Debt: "Show code smells in legacy modules by complexity" - data-driven refactoring decisions
Release Quality: "Verify all release branches meet quality gates" - automated quality checks
Three-minute setup for Claude Desktop:
{
"mcpServers": {
"sonarqube": {
"command": "npx",
"args": ["-y", "sonarqube-mcp-server@latest"],
"env": {
"SONARQUBE_URL": "https://sonarcloud.io",
"SONARQUBE_TOKEN": "your-token-here",
"SONARQUBE_ORGANIZATION": "your-org"
}
}
}
}
For production environments, Docker deployment includes OAuth flows, JWT validation, and enterprise identity provider integration.
Built on the Model Context Protocol specification with:
The server handles SonarQube's complexity - rate limiting, pagination, error handling - so your AI interactions stay smooth and reliable.
Code quality tools generate valuable insights, but accessing that data requires context switching and manual investigation. This MCP server eliminates the friction between identifying quality issues and taking action on them.
You're not just getting another integration - you're getting a productivity multiplier that turns SonarQube's comprehensive analysis capabilities into conversational workflows that fit how you actually work.