SonarQube
The SonarQube MCP (Model Context Protocol) Server is a custom-built AI-powered backend designed to integrate with SonarQube and enable intelligent, context-aware interactions between static code analysis and modern AI agents like GitHub Copilot, VS Code Agents, or any LLM-powered tool.
Overview
what is SonarQube MCP Server?
SonarQube MCP Server is an AI-powered backend designed to integrate with SonarQube, enabling intelligent interactions between static code analysis and modern AI agents like GitHub Copilot and VS Code Agents.
how to use SonarQube MCP Server?
To use the SonarQube MCP Server, set up your environment variables, install the required dependencies, and run the server using Python. You can also build and run it using Docker for easier deployment.
key features of SonarQube MCP Server?
- Health Check: Monitor the status of your SonarQube server.
- Token Validation: Validate SonarQube authentication tokens.
- Project Issues: Fetch unresolved issues for specific projects.
- Project Listing: List all accessible SonarQube projects.
- Project Metrics: Retrieve key quality metrics for projects.
use cases of SonarQube MCP Server?
- Integrating AI tools with SonarQube for enhanced code analysis.
- Monitoring code quality in real-time during development.
- Automating issue tracking and reporting for software projects.
FAQ from SonarQube MCP Server?
- Can I use SonarQube MCP Server with any version of SonarQube?
Yes, as long as the API endpoints are compatible.
- Is there a graphical interface for SonarQube MCP Server?
No, it is designed to be used via API endpoints.
- How do I handle errors when using the server?
The server includes comprehensive error handling and returns detailed error messages for diagnosis.
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