"How to fix SonarQube findings" matching MCP servers:

Converts a Figma file into a React project using Ant Design, AG Grid, ApexCharts, and Tailwind CSS, with optional export of mobile screens as a React Native (Expo) app.

Enables AI agents to audit and fix CSS for generic AI-built design patterns, covering fonts, palettes, contrast, and type scales.

Extracts SVG icons from Figma and generates React TSX icon components automatically, enabling AI assistants like GitHub Copilot and Claude to manage icon workflows.

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.

Enables MCP clients to inspect FreeCAD documents and export named solids to STL, find and derive OrcaSlicer presets, preview and run slices with recorded manifests, and then read G-code metadata, query a Moonraker printer, upload G-code, and start an uploaded print as a separate confirmed step.

Converts Figma to Markdown. Strips out visual noise to drastically reduce LLM token consumption.

Enables Cursor AI to read and modify Figma designs programmatically via the Model Context Protocol.

Enables AI agents to read and modify Figma designs programmatically through WebSocket communication, supporting document manipulation, styling, text replacement, and component management.

An MCP server that integrates AI agents with Figma, enabling reading and programmatic modification of designs.

Enables AI agents to directly control Figma Desktop via MCP, supporting UI creation, editing, prototyping, and variable management with over 60 tools.

Enables an MCP-compatible AI client to author Blender Python, run Blender, import the resulting asset into Unity with materials and a prefab, place it in the active scene, verify the import, and revise the same asset using stable IDs.

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.

Enables AI agents to author, validate, render, measure, and fix 2D rigs and animations through 16 tools, returning results as images and providing a live editor bridge.

MCP server for ingesting UI screenshots, Figma MCP node JSON, or hybrid Figma-plus-screenshot sources into a cross-platform design-to-code artifact pipeline.

Wiri is a headless wireframing MCP server designed for an LLM operator. It stores each screen as a small semantic scene graph, lays elements out without absolute coordinates, and closes the editing loop with deterministic renders and lint findings.

A local MCP bridge that lets AI agents build and edit real TouchDesigner networks by creating and wiring operators, setting parameters and expressions, validating the network, and viewing rendered image previews to iterate on results.

Enables AI agents to extract design systems, analyze components, and maintain design-code consistency from Figma files, providing intelligent component analysis and accessibility compliance.

Transforms Figma design data into a compact, LLM-friendly format for code generation, reducing size by 99.5% while preserving UI-critical information.

Enables an agent to turn a paper's draft into editable Figma frames for publication-ready figures, checking every number against the paper and verifying the exported PDF.

Enables AI agents to read, analyze, and modify Figma designs, including bulk style updates, accessibility audits, comment triage, and code generation from designs.

Enables AI agents to read, inspect, and edit Figma files through a Model Context Protocol server with 107 tools, visual snapshots, fidelity tools, and optional REST API access.

Enables AI agents to validate design system constraints, including WCAG accessibility, token relationships, and consistency, through MCP tools like validate, explain, and suggest-fix.

Deterministic screenshot diffing for AI coding agents. Extract design tokens, diff implementations vs reference, get CSS fix suggestions.

Enables AI-powered design operations in Figma, including UI creation, design review, token sync, linting, auditing, and auto-fix through natural language commands.

Enables Cursor AI to read and modify Figma designs via the Model Context Protocol, allowing programmatic control over documents, components, styles, and more.

Enables safe, AI-driven CATIA V5 modeling through 36 guarded tools for creating and inspecting parametric CATParts, including sketch, part design, GSD/surface, and transaction operations, while preventing mutation of existing documents.

MCP server that enables AI agents to read, analyze, and modify Figma designs, including comment management via Figma's REST API. Works with any Figma account and supports parallel execution.

Enables a coding agent to create, read, write and link HTML-native artboards, capture screenshots of its own rendered output, and collect queued canvas feedback so it can see and refine UI designs in a loop. Provides tools such as screenshot_artboard, write_artboard and get_pending_marks to close the write-render-look-fix cycle on real HTML files.

Transform Figma designs into pixel-perfect React + Tailwind components using the Model Context Protocol.

Enables agents to subscribe to comments in selected Figma files, pages, frames, folders, teams, or organizations, optionally filtered by tag, and retrieve new comment events over MCP stdio. It polls Figma's REST API locally so the receiving agent can decide how to react.