"SonarQube" matching MCP servers:

Connects AI coding assistants to PyCharm's code quality inspections and optionally SonarQube for IDE, providing unified, de-duplicated code analysis results without uploading source code.

Enables an LLM to run a project's real test suite and SonarQube scan against on-disk projects using throwaway, socket-proxied containers without granting raw shell access.

Gives AI coding agents a shared local SonarQube instance plus a SonarQube MCP endpoint per machine, so multiple clients can run scans, wait on quality gates, and read metrics and issues for the auto-detected project in a workspace. Tools also accept an optional server argument to query configured remote SonarQube servers (such as a company CI server) alongside the local one.

Read-only MCP server for self-hosted SonarQube Community Build 26.4+: lets AI agents (Claude Code, Cursor, Copilot) read issues, security hotspots, rules and code snippets to fix findings locally

Enables an MCP-capable assistant to review GitLab merge requests, GitHub pull requests, and pre-push local branches against ticket requirements, domain rubrics, compiler/lint pre-passes, blast-radius analysis, and SonarQube findings, and to draft inline comments or follow-up tasks in the user's chosen language. Nothing reaches a remote host until a human approves the exact content in an interactive terminal.

Enables collecting data from configurable sources such as Jira, SonarQube, Uptime Robot, npm audit, and HTTP endpoints, then exporting it to an Excel file with one sheet per source.