"How to fix SonarQube findings" matching MCP servers:

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

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

Enables AI assistants to convert recipe amounts between volume and weight for specific ingredients using measured densities, scale recipes, and convert oven temperatures, with source citations and alternative published values.

Minimal MCP server for sending messages to Poke via the inbound webhook.

Converts Jenkins declarative pipelines into GitHub Actions workflow YAML files, facilitating migration from Jenkins to GitHub Actions CI/CD.

This MCP server enables Claude to speak summaries, announcements, and explanations aloud using text-to-speech — right from your terminal.

MCP server for AI agents to send notifications, copy to clipboard, request confirmations, and collect text input from users across their devices.

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 server that converts Markdown documents to plain text with flexible options and dual protocol support.

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.

MCP server that converts Mermaid diagrams to styled Excalidraw files, saving them directly to disk without token overhead.

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.

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

Enables AI assistants to manage Plan to Eat recipes, meal plans, and shopping lists through natural language, with full CRUD operations.

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 Cursor AI to interact with Figma designs, allowing users to read design information and programmatically modify elements through natural language commands.

A Model Context Protocol server that converts Markdown content to HTML format.

An MCP server that converts Excel and Apple Numbers files to PDF format, enabling AI assistants like Claude to perform file conversion directly through conversation.

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.

Enables AI coding agents to list, inspect, triage, and bulk-update security findings and issue groups from Sourcery's public security API, with aggregate counts, cursor pagination, and generated minimal-change fix prompts. It exposes 12 tools wired to a pinned OpenAPI snapshot, running over stdio or Streamable HTTP.

A tool that creates MCP (Model Context Protocol) servers from OpenAPI/Swagger specifications, enabling AI assistants to interact with your APIs.

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.

This MCP server lets AI agents connect to Figma to read, analyze, create, and modify designs, including elements, styles, assets, and code generation. It works with free Figma accounts and supports parallel multi-agent use across MCP-compatible clients.

Gives AI coding agents a project's growth context, exposing site audits, prioritized findings, live analytics, ad, search, and lifecycle marketing data, and session-replay insights so they can answer growth questions and recommend next steps. Also provides action tools to provision measurement, provision ad resources, and turn findings into reviewable code-fix workflows such as pull requests, diffs, and previews.

Enables agents and terminals to reverse engineer native binaries, JavaScript/Electron apps, .NET assemblies, and websites, returning findings with supporting evidence and stated limitations. Analysis runs locally, so users can investigate features without source code, explain how they work, and build comparable implementations.

Enables managing Microsoft To Do lists and tasks through MCP, including creating, updating, completing, deleting, searching, and checklist operations via Microsoft Graph.