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SonarQube & SonarCloud MCP, Ready to Go

Use Claude or Cursor to audit code quality and security flaws with the SonarQube & SonarCloud MCP. Get instant insights into your technical debt.

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Audit code quality and security flaws from your AI chat.

SonarQube & SonarCloud MCP for AI Agents

Works with every AI agent you already use

…and any MCP-compatible client

Cursor AI Code EditorClaude Desktop AppOpenAI Agents SDKVisual Studio CodeGitHub Copilot AI AgentGoogle Gemini AILovable AI DevelopmentMistral AI AgentsAmazon AWS Bedrock

How fast is the SonarQube & SonarCloud Connector?

986ms Fast
Fast Acceptable Slow

Average time for the server to become ready for requests over the last 14 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this Connector on Vinkius Cloud, and connect it to your AI agent in seconds.

Min 813ms
Average 986ms
Max 1667ms
Trend (improving) ↓ 9%
Daily latency
1667ms 7/12/2026
1196ms 7/13/2026
950ms 7/14/2026
1008ms 7/15/2026
1120ms 7/16/2026
910ms 7/17/2026
894ms 7/18/2026
1020ms 7/19/2026
1187ms 7/20/2026
813ms 7/21/2026
898ms 7/22/2026
1031ms 7/23/2026
923ms 7/24/2026
1165ms 7/25/2026
7/12/2026 7/25/2026

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AI Agent

What AI agents can do with SonarQube & SonarCloud MCP: 10 Tools for Code Audits

Query quality gates, security hotspots, and code metrics directly from your AI chat.

Get component tree

Get the full folder and file structure of a project along with its associated metrics. This helps you see the entire architecture of your codebase in one view.

Get duplications

Identify specific blocks of duplicated code within a single file. Use this to find redundant logic that needs to be consolidated.

Get hotspots

Retrieve security hotspots that require manual review from your project. This lets you prioritize the most sensitive areas of your code.

Get measures

Pull specific metrics like unit test coverage or technical debt for a project. You can get a clear picture of your code's health with these numbers.

Get quality gate status

Check if a project currently meets your team's quality gate requirements. This is the quickest way to see if a build is ready for production.

Get source code

Fetch specific lines of annotated source code for a file. You can see exactly which lines triggered a rule so you can fix them faster.

List quality gates

List all the quality gate definitions in your instance. This helps you understand the rules your project must follow.

List rules

List all analysis rules being applied to your code. You can filter these by language to see what checks are active.

Search issues

Filter through project issues by severity to find the most pressing bugs. This helps you focus on critical fixes instead of minor ones.

Search projects

Search for project keys and names across your entire instance. This is the first step to finding the right project for your queries.

A Connector is a URL. Vinkius runs it: hosting, security, governance, observability.

You're looking at one of 5,800+ managed Connectors. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.

01

No Shadow AI

Every agent action is visible, approved, and auditable. Nothing runs outside your governance.

02

Absolute agent control

Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.

03

Cost control per token

Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.

04

Managed & monitored infra

We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.

05

Data protection, DLP by design

Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.

06

Token optimization, real savings

Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.

SonarQube & SonarCloud MCP: Fix Security Hotspots and Technical Debt Fast

The software engineer who is tired of jumping between their IDE and a browser to find out why a build failed. It is also for DevSecOps teams who need to audit security hotspots across multiple repositories quickly.

Software Engineer

Uses the Connector to quickly check why a PR was blocked and get specific code refactors to fix quality gate failures.

DevSecOps Engineer

Queries security hotspots and critical CVEs across various projects to prioritize remediation efforts.

Tech Lead

Monitors technical debt ratios and test coverage trends across the whole team's portfolio from a single chat.

Frequently Asked Questions

Can I use the SonarQube & SonarCloud MCP to check my PR status? +

Yes. You can ask your agent to check the quality gate status to see if your latest changes meet the team's standards before you merge.

How does the SonarQube & SonarCloud MCP help with security? +

It pulls security hotspots and critical issues directly into your chat. This lets you see vulnerabilities and risks immediately without navigating a separate dashboard.

Can I use this for both SonarQube and SonarCloud? +

Yes, it works with both self-hosted SonarQube instances and cloud-based SonarCloud dashboards.

Does the SonarQube & SonarCloud MCP show me my test coverage? +

Yes, you can query specific metrics to see your branch and line coverage instantly for any project in your organization.

Can I see the actual code lines that triggered a warning? +

Yes, the Connector can pull the specific annotated source code lines so you can see exactly which parts of your code need refactoring.

Is this Connector suitable for tracking technical debt? +

Absolutely. You can pull technical debt metrics and identify specific blocks of duplicated code to help prioritize your cleanup tasks.

Can I connect this extension to my company's self-hosted, private SonarQube on-premise instance? +

Yes! The tool requires a SONAR_BASE_URL credential. If your company uses https://sonar.internal-corp.local:9000, the Connector traffic routes originating from your local desktop client to that exact internal instance seamlessly, guaranteeing total compatibility even inside VPNs.

How can the AI know how to fix a Sonar 'Code Smell' specifically? +

When the AI notices an identified smell from search_issues, it queries list_rules looking for the exact underlying Sonar rule ID definitions. Armed with the rigid logic rules enforced by SonarQube plus the get_source_code of your file, the LLM patches the snippet flawlessly.

Can it inspect duplication limits and technical debt logic? +

Yes. Ask the LLM to inspect technical debt by running get_measures providing 'sqale_index' metric. On the other hand, it can pull specific chunk references using the get_duplications command, helping you extract redundant code safely.

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