The way we build software is changing. AI assistants and AI agents are no longer concepts from a distant future; they are in our IDEs today, suggesting code, automating tasks, and accelerating our workflows. AI-assisted coding is a game-changer, promising incredible speed and efficiency. But it also introduces a critical new question: How do we ensure AI-written code meets the non-negotiable standards of quality, security, and maintainability that we, as professional developers, demand?
AI agents are powerful, but they operate on probabilistic knowledge, which can lead to hallucinations. How can we connect the creative potential of these agents to the deterministic, ground-truth reality of our codebases?
Today, weâre excited to announce a major leap forward: the alpha release of the official SonarQube MCP Server. This open source project is designed to be the definitive connective bridge between any AI agent and your SonarQube instance.
What is an MCP Server? The universal translator for AI and code quality
Think of the Model Context Protocol (MCP) as a universal standard, like USB-C for AI. Before MCP, connecting different AI applications to different tools was a complex, proprietary, one-off integration.
The SonarQube MCP Server is our official implementation of this standard. It acts as a secure, self-hosted intermediary that you control. It exposes the power of SonarQube as a set of âtoolsâ that any MCP-compatible AI agent such as GitHub Copilot, Cursor agent or Windsurf Cascade, can use.
What can you do with it?
This alpha release is just the beginning, but it already unlocks powerful new ways to interact with SonarQube using plain English. Imagine being in your IDE and instructing your AI assistant:
- âWhat is the quality gate status for the âlegacy-refactorâ project?â
- âList all the new security hotspots in my current pull request.â
- âAre there any âBlockerâ issues in the âmobile-app project?â
The SonarQube MCP server makes these kinds of interactions with agents possible. It empowers you to build custom, automated workflows that bring the full context of SonarQubeâs code analysis directly into your conversational AI environment.
Why an Alpha? Your role in shaping the future
We are releasing this as an experimental, community-driven alpha because we believe the best tools are built in the open, with the people who use them every day. This is not yet a feature-complete, production-ready product. Itâs a foundation. Itâs an invitation.
This approach is also about trust and transparency. In a world where AIâs role is growing, you deserve to see exactly how these agents interact with your critical tools and source code. Building this in the open provides that clarity and ensures the community is at the heart of this evolution. This isnât just our project; itâs a foundation we hope youâll build upon.
By participating in this Alpha, youâre not just getting early access to cutting-edge tech. Youâre getting a unique chance to directly shape the future of AI integration with SonarQube. Your insights, bug reports, and use cases will be crucial in building a tool that solves real-world developer problems.
We need you!
We need curious developers, open-source enthusiasts, and SonarQube power users to put the server through its paces.
- Visit the GitHub repo: GitHub - SonarSource/sonarqube-mcp-server: SonarQube MCP Server.
- Follow the README: The README.md file contains detailed instructions for installation, configuration, and the tools available for your MCP client. More details can also be found in our documentation.
Now youâre all setup, try it out and give us feedback: What works? Whatâs missing? Whatâs confusing? Report bugs through our community and suggest features.
Letâs build the future of AI-assisted development, together.
The Sonar Team