Question 1

What is Devin MCP for Sonar and how does it work?

Accepted Answer

Devin MCP for Sonar connects Devin AI to SonarQube/SonarCloud via the Model Context Protocol, letting Devin read quality metrics, issues, and quality gates, then propose or apply code improvements with context-aware reasoning.

Question 2

How do I set up the Devin Connector for Sonar?

Accepted Answer

Create a Sonar personal access token, note your SonarQube/SonarCloud URL, install/enable the Devin MCP connector, configure the endpoint and token, grant required scopes, and run a connection test. Then select a project and start analysis.

Question 3

Can Devin automatically fix issues found by Sonar?

Accepted Answer

Yes, Devin can auto-generate patches for many code smells, minor bugs, and some security hotspots. Critical or architectural issues usually require human approval. All changes can go through code review and CI checks.

Question 4

Which Sonar metrics can Devin MCP analyze?

Accepted Answer

Coverage, duplications, complexity, bugs, vulnerabilities, security hotspots, technical debt, quality gate status, and maintainability/reliability/security ratings. Devin uses these to prioritize fixes and suggest improvements.

Question 5

Is it compatible with SonarCloud and SonarQube?

Accepted Answer

Yes. Point the connector to your instance (SonarCloud or self-hosted SonarQube), provide the correct token, and Devin will operate the same way across both.

Question 6

How does Devin prioritize issues to fix?

Accepted Answer

By severity, security risk, quality gate impact, estimated effort vs. benefit, recent regressions, affected files’ ownership, and your custom rules. High-risk and gate-blocking issues come first.

Question 7

Can multiple team members use it at the same time?

Accepted Answer

Yes. Multiple users can work concurrently on different projects or issues. The connector respects Sonar permissions and can record activity for auditability.

Question 8

What languages does the connector support?

Accepted Answer

All languages supported by Sonar, including Java, C#, Python, JavaScript/TypeScript, Go, Kotlin, Swift, PHP, and C/C++. Devin adapts recommendations per language best practices.

Question 9

How secure is the Devin–Sonar integration?

Accepted Answer

It uses HTTPS, token-based auth, and least-privilege scopes. Tokens are stored securely, and source code is not retained outside your systems; Devin primarily processes metadata and diffs.

Question 10

Does it integrate with CI/CD pipelines?

Accepted Answer

Yes. It can react to quality gate results, comment on pull requests, propose or open fix PRs, and fail builds when necessary. Works with GitHub Actions, GitLab CI, Azure DevOps, Jenkins, and more.

Connect Devin to Sonar (Anthropic) to unlock the power of AI automation

Devin MCP tools

read-wiki-structure

read-wiki-contents

ask-question

Devin connector for other AI models (LLMs)

ChatGPT

Grok

Gemini

Claude Sonnet

Claude Opus

Mistral

DeepSeek Chat

Llama

Need inspiration? What's in your stack?

Airtable

Canva

GitHub

Gmail

Google Drive

HubSpot

Notion

Salesforce

Frequently Asked Questions

Conversational AI use cases to explore