"How to fix SonarQube findings" matching MCP servers:

A read-only MCP server that provides AI assistants with structured access to SonarQube projects, issues, metrics, and rules. It enables safe analysis of code quality and security findings through a set of validated, safety-first tools.

Read-only MCP server that exposes SonarQube Web API tools for issue retrieval, quality gate status, and source context, enabling coding agents to fix code issues.

A Model Context Protocol (MCP) server for interacting with SonarQube code quality platform.

An MCP server for SonarQube that enables LLM agents to discover projects, analyze code quality metrics, check Quality Gate status, search issues with filters, and rank projects by worst-performing metrics. It provides read-only, safe access to SonarQube instances with structured outputs and error handling.

Enables scanning Python repos for dead code and automatically drafting a branch + PR for the safe subset (unused single-name imports) after running the repo's full test suite. All other findings are reported without modification, and a human always merges.

Enables AI clients like Claude to read and manage Microsoft To Do task lists and tasks via the Microsoft Graph API, running locally over stdio with secure token storage.

Enables Cursor AI to query SonarQube for pull request metrics, issues, file issues, and duplication reports directly, without manual data export.

Enables managing audit findings in a SQLite database via natural language, allowing queries and updates without writing SQL.

MCP server for parsing, validating, building and explaining FIX protocol trading messages — offline, no API keys.

A community-maintained fix for the MCP Feedback Enhanced server, resolving image attachment serialization, web panel 500 errors, and extending default timeout for long-running feedback sessions.

MCP server that exposes code review tasks from the Fix My Comments VS Code extension to AI agents, enabling them to list, retrieve, reply to, and update task statuses.

A Model Context Protocol (MCP) server that provides AI assistants with access to SonarQube code quality, security, and project analytics data.

MCP server for AI-assisted trading operations, enabling agents to diagnose and resolve FIX, OMS, and venue incidents through controlled tools and human approval.

A production-grade MCP server for FIX protocol trading operations that enables order management, session repair, and algorithmic execution. It provides specialized tools for monitoring session health, managing ticker reference data, and executing complex trading scenarios.

Enables two LLMs to play Tic-Tac-Toe against each other autonomously using a shared tool and an SSE relay. The server facilitates agent-to-agent communication by holding tool responses until the opponent makes a move, managing the game state in real-time.

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

A Python MCP server for SonarQube, enabling AI agents to query projects, issues, quality gates, coverage, and security hotspots.

Security scanning MCP server that connects Claude to RepoMend findings, enabling vulnerability management and automated fix drafting.

A Model Context Protocol (MCP) server for integrating with StackHawk's security scanning platform. Helps developers set up StackHawk, run security scans, and triage findings to fix vulnerabilities — all from within an LLM-powered IDE or chat.

Enables AI assistants to scan deployed web apps by sending a flock of AI users that identify UX issues, mobile breakage, and conversion path problems, returning prioritized, fix-ready findings.