"Kotlin RAG (Retrieval-Augmented Generation) implementation resources" matching MCP servers:

Enables Figma-to-Code workflows by retrieving and calibrating real-world components from Figma designs, screenshots, and a component knowledge base, outputting component contracts and preview implementations.

AI design fidelity — compare Figma designs or screenshots against the rendered implementation and get structured discrepancies. Uses your Claude Code or Codex subscription, no API keys.

Compare design and implementation screenshots using pixel-by-pixel analysis, generating visual diff images and metrics.

Enables MCP clients to browse, customize, and compose UI components, design tokens, site content, and a UI/UX spec into standalone pages. Also supports searching components and retrieving specs, resources, and prompts for page generation.

It lets AI coding agents look up design tokens, component specifications, and prohibition rules on demand, then validate generated HTML or JSX with the same lint logic used by CI and editor hooks so violations are caught and corrected immediately. It also exposes the design constitution and rule sets as resources for reference during generation.

PyNet Bridge MCP implementation to connect IAs with PyNet Platform.

28 tools for 3D and AR development — code generation, validation, model search (Sketchfab), and complete API reference. Android (Compose + Filament), iOS (SwiftUI + RealityKit), Web (Kotlin/JS + Filament.js). The only MCP server for 3D mobile development.

MCP server for AI-powered component generation - analyze designs, generate components, and create implementation instructions.

An MCP server that gives AI coding tools access to Figma design data for accurate one-shot implementation of designs.

An MCP server that gives AI coding agents access to Figma design data, enabling pixel-perfect implementation of designs through structured data extraction, image downloads, and design token retrieval.

MCP server for Spline.design code generation and asset management.

Converts Lanhu design URLs into AI-ready implementation context including HTML+CSS (Tailwind), image downloads, design tokens, and guidance.

MCP server that indexes and serves design skills, guides, and patterns from the taste-skill library, enabling structured retrieval and workflow prompts for design, redesign, and image generation.

Provides tools and resources for interacting with xTool laser machines, enabling material settings recommendations, design generation, troubleshooting, and machine knowledge through natural language.

Enables natural language interaction with KiCad projects, schematics, and PCBs, supporting project management, design rule checking, netlist extraction, and datasheet RAG search.

Provides resources, tools, and prompts for a Design System via MCP protocol, enabling component search, reading, and related component discovery.

Enables browsing and editing Open Metaverse Spatial Fabric scenes, including managing scenes, objects, and resources through natural language.

Strict Model Context Protocol server for Consumer Choice Center brand-guided generation. It exposes the CCC 2026 brand guide as machine-readable resources and tools so an LLM can retrieve brand assets, validate designs, and generate on-brand prompts and SVG drafts.

Enables reading, writing, and validating .tldr files for tldraw, a headless implementation without browser dependencies.

Enables generating presentations, creating from templates, and managing Gamma resources via MCP tools.