# sonarqube-mcp

> Use this tool when you need to integrate SonarQube data into AI workflows, enabling analysis and decision-making based on code quality, issues, and project metrics. It exposes SonarQube data through a server, providing inputs such as project discovery and quality gates, and outputs like measures, issues, and source code. This tool is ideal for use cases requiring automated code review, quality gate checks, and data-driven development decisions.

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

## Description

MCP server that exposes SonarQube data as AI agent tools, enabling project discovery, quality gates, measures, issues, hotspots, rule explanations, source code, and raw API access.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a46v7u6t5t)
- **Repository:** <https://github.com/metalralf/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": "metalralf-sonarqube-mcp"
    }
  }
}
```

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