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FastMCP SonarQube Metrics

@ArchAI-Labs

代码仓库

关于 FastMCP SonarQube Metrics

Chat with your SonarQube data: explore metrics, compare trends, and track issues—effortlessly.

#sonarqube#mcp-server

基本信息

分类

开发工具

许可证

Apache-2.0

运行时

python

传输方式

stdio

发布者

ArchAI-Labs

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "fastmcp-sonarqube-metrics": {
      "command": "uv",
      "args": [
        "run",
        "mcp",
        "dev",
        "<server_name>"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is FastMCP SonarQube Metrics?

It is a set of tools built with the FastMCP framework that retrieve metrics, historical data, component tree details, and issues from SonarQube projects. Designed for developers, DevOps engineers, and analysts who need programmatic access to SonarQube data for reporting, analysis, and integration.

How to use FastMCP SonarQube Metrics?

Clone the repository, set environment variables (SONARQUBE_URL, SONARQUBE_TOKEN, TRANSPORT) in a .env file, install Python dependencies, then run server.py. Launch the included test client with client_test.py or integrate with Claude Desktop by configuring its MCP server settings. A hosted deployment is also available on Fronteir AI.

Key features of FastMCP SonarQube Metrics

  • Health check: get_status verifies the SonarQube instance.
  • Project management: create and delete SonarQube projects.
  • List all accessible SonarQube projects, optionally filtered.
  • Retrieve current metrics: bugs, vulnerabilities, code smells, coverage, duplication.
  • Fetch historical metrics with optional date filters.
  • Get component tree metrics with automatic pagination.
  • Retrieve project issues filtered by type, severity, and resolution.

Use cases of FastMCP SonarQube Metrics

  • Automate SonarQube metric collection for dashboards or reports.
  • Integrate code quality data into CI/CD pipelines.
  • Build custom analytics tools that consume SonarQube data.
  • Perform health checks and monitor project status programmatically.
  • Extract issue lists for triage or compliance tracking.

FAQ from FastMCP SonarQube Metrics

What are the prerequisites to use this server?

Python 3.7+, a running SonarQube instance with API access, a valid SonarQube API token, and installed packages: fastmcp, httpx, pydantic, python-dotenv.

What transport modes are supported?

The server supports both stdio and sse (Server-Sent Events) transport, configured via the TRANSPORT environment variable.

How do I configure this server with Claude Desktop?

Add a JSON entry to claude_desktop_config.json specifying the command uv with the directory pointing to the cloned repository and running server.py.

Is there a hosted version available?

Yes, a hosted deployment is available on Fronteir AI at the URL provided in the README.

Are there any known limitations?

The project is a work in progress; some features may not be perfect.

评论

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