# SonarQube

> Use this tool when you need to analyze and improve code quality, identify project vulnerabilities, and track metric performance across multiple projects. SonarQube integrates with code analysis platforms to provide detailed insights and quality gate status, enabling data-driven decisions to enhance overall code health. It accepts project data as input and outputs actionable metrics, issue reports, and rankings to inform development and maintenance efforts.

Canonical page: https://skillsregistry.net/skills/mshegolev-sonarqube  
JSON: https://api.skillsregistry.net/v1/skills/mshegolev-sonarqube

## Description

SonarQube integrates with SonarQube 9.x/10.x and SonarCloud to expose code quality analysis as MCP tools. It provides project discovery, metric retrieval, quality gate status, issue triage by severity and type, and cross-project ranking to identify the worst-performing projects by any metric. Read-only operations over stdio transport; installable via pip or uvx.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mshegolev-sonarqube)
- **Repository:** <https://github.com/mshegolev/sonarqube-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mshegolev-sonarqube"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mshegolev-sonarqube` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mshegolev-sonarqube/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt