"How to fix SonarQube findings" matching MCP servers:

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.

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.

Server for SonarQube Give AI assistants direct access to your code quality, security & analysis data

A server that provides tools for retrieving SonarQube project metrics and quality data through a simplified message-based approach, allowing users to programmatically access metrics, historical data, and component-level information from SonarQube.

A lightweight MCP for SonarQube reports

Radar is an open-source Kubernetes observability and diagnostics MCP server. It exposes cluster health, workload diagnosis, logs, events, topology, audit findings, and remediation actions to AI agents through the Model Context Protocol.

Enables mapping JavaScript error stack traces back to original source code, extracting context information to help developers locate and fix issues.

An environment diagnostic and correction tool for MCP that provides detailed system insights, runtime checks, and actionable suggestions to fix common issues.

Bridges OpenAI Codex with Sentry to automatically fetch, analyze, and fix errors using AI.

Connects AI clients to Tenable OT Security, exposing OT/ICS asset inventory, vulnerabilities, events, policies, and findings as read tools, with an opt-in dry-run write layer for asset edits and policy management.

Enables analysis of AI agent traces to detect and fix failures using heuristic detectors, with no LLM calls required.

Retrieves captured bug context and evidence for coding agents, enabling progressive disclosure of sessions, manifests, and window correlations to diagnose and fix issues.

A read-only MCP server that gives Claude safe access to Kubernetes clusters, enabling listing, describing, and monitoring resources without mutation risks and with secret masking.

Enables deterministic bilingual website intelligence audits by URL, returning fixed English or Spanish findings without ever contacting the submitted site.

Enables AI agents like Claude Desktop to read vulnerability reports, trigger scans, and manage findings for the Inventory Guard self-hosted vulnerability watchdog.

Enables AI agents to discover and call Xyte's device management API endpoints with typed validation, supporting fleet investigation, ticket management, and routine operations through natural language.

AI-powered QA testing platform — catches JS errors, accessibility failures, visual regressions, API loops, security issues, and more via Chrome DevTools MCP

Enables monitoring and analysis of agent goal achievement and failures across sessions, repos, and tools, with detailed views and tracing.

Enables coding agents to read performance findings from sixty, get detailed evidence for each finding, and close or resolve them with descriptions, while also checking service telemetry and providing installation instructions.

MCP server for broken link detection, monitoring, and AI-powered fix suggestions. Scans URLs or sitemaps, estimates SEO and revenue impact, and returns actionable remediation steps. Built with FastMCP 3.x.