"How to write a Java application, especially using Spring" matching MCP servers:

A Model Context Protocol server that enables AI agents to programmatically create, modify, and manage Figma documents via a WebSocket bridge and Figma plugin.

Enables AI assistants and scripts to safely create, edit, query, and organize Figma designs—including frames, text, components, variables, styles, prototyping, and motion—through a local bridge to an open Figma plugin. Supports bulk operations, design tokens, live change events, and optional REST API tasks.

An MCP server that provides write access to Figma through the Plugin API, enabling AI agents to create, modify, and manage Figma designs programmatically.

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 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.

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.

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

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

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

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.

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.

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.

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

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 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 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.

MCP server that parses .sketch design files into CSS-aligned, LLM-friendly JSON, enabling AI coding agents to generate high-fidelity HTML, Vue, or React code.