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[](https://archestra.ai/mcp-catalog/archai-labs__fastmcp-sonarqube-metrics)
This project provides a set of tools for retrieving information about SonarQube projects using the FastMCP (Fast Model Context Protocol) framework. It serves as an interface to SonarQube, allowing users to programmatically access metrics, historical data, and component tree metrics for specified projects. This automated access enables reporting, analysis, and integration of SonarQube data with other systems.
The project distinguishes itself by offering a simplified, message-based approach to interacting with the SonarQube API, abstracting away the complexities of direct API calls and data handling. It's designed for developers, DevOps engineers, and analysts who need to incorporate SonarQube data into their workflows or build custom reporting solutions.
This repository specifically houses the client and server components that facilitate communication and data retrieval. The server exposes tools to fetch data from SonarQube, while the client provides a command-line interface for users to invoke these tools and display the results. Each internal module contributes to this goal by encapsulating specific functionalities, such as API interaction, data processing, and client-server communication.
Works with Claude (desktop and mobile), Cursor, Windsurf, VS Code, and any MCP-compatible AI app.
Category: Developer Tools
Don't lose this
Three weeks from now, you'll want ArchAI-Labs/fastmcp-sonarqube-metrics again. Will you remember where to find it?
Save it to your library and the next time you need ArchAI-Labs/fastmcp-sonarqube-metrics, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. ArchAI-Labs/fastmcp-sonarqube-metrics. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from awesome:punkpeye/awesome-mcp-servers
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