"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.

Enables VS Code's AI assistant to query and manage SonarQube projects, quality gates, measures, issues, hotspots, branches, and system status through the SonarQube REST API over stdio.

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.

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 MCP clients to turn Make blueprints and Zapier exports into n8n workflow files, with a per-step report of what converted, what to review, and what must be finished by hand. Also lists zaps, explains how individual steps are handled, checks workflow files for broken links or placeholders, and can upload the result to an n8n instance as an inactive workflow.

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 coding agents to retrieve pull request review findings, reproduce and fix them locally, reply on review threads, report reproduction results, and request fresh reviews.

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.

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.

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.

Enables read-only exploration of SonarQube projects, explaining why a quality gate is red and searching unresolved issues, reading metrics and source snippets around a finding. All six tools are idempotent and leave the SonarQube instance untouched.

A bug-fix fork of the EasyEDA Pro MCP bridge that resolves six upstream bugs including silent BOM wipes, dead copper to SMD pads, and five-minute netlist hangs, hardened on a real board taken to fab.

Monitor failing GitHub Actions workflows, auto-fix them with OpenCode, and retry the run — driven by a workflow_run webhook, coordinated through an MCP server.

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

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.

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

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.

Read-only security audit for Supabase. Surfaces RLS gaps, permissive policies, exposed functions and grants, and returns scored findings with fix SQL that is never executed.

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

Live aircraft and ship positions for an agent, by circle or polygon, with the feeds that reported each contact and how old each fix is. Runs against your own self-hosted Velocity instance, no API keys.

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

Enables AI coding agents to sniff a deployed app's homepage and receive a free Sniff Score out of 100, a verdict, structured findings, and a paste-ready fix prompt, plus retrieval of earlier results without spending a new sniff. It also reports what paid Smoke and Deep runs would add beyond the free homepage check.

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.