"Understanding Code Relationships and Dependencies" matching MCP servers:

Injects the Code-Me brand identity, tone, and visual guidelines into LLMs with zero latency using built-in context files.

Maps design components, tokens, and patterns to their code implementations, providing AI coding agents with exact-match resolution across any design tool and framework. Enables agents to reliably discover and reuse existing components across React, Vue, Flutter, SwiftUI, and more.

Provides 8 MCP tools for frontend design: load design system, generate components, scaffold pages, review consistency, extract tokens, check WCAG 2.2 AA, test responsiveness, and export to Figma.

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

Enables driving Inkscape headlessly from an MCP client, with verified SVG editing, rendering, optimization, and animation tools.

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.

Generates and transforms Expo assets (icons, splash, adaptive icons) from source images. Also includes image transformation and SVG conversion tools.

Enables AI agents to programmatically control a live Excalidraw canvas with element-level CRUD operations and real-time synchronization. It supports iterative diagramming through scene descriptions, screenshots, and advanced layout tools for collaborative AI-human workflows.

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

Enables LLM clients to work with Vantage to inspect and modify scene state, open/save files, probe object properties, and run VScript payloads.

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

Enables local, versioned Blender character and shot production through fixed immutable stage transitions — reference import, blockout, mesh, retopology, look development, groom, rigging, animation, and rendering — with review gates, approvals, packaging, and resumable job control. It exposes these production operations over MCP instead of executing arbitrary Blender Python, keeping every write deterministic and caller-specified by exact source version.

Enables agents to discover cinematic website templates, generate executable scroll and WebGL code, create design systems, inspect HTML, validate assets and dependencies, and plan source-delivery and launch QA through 40 validated tools, resources, and prompts.

An MCP server that enables AI assistants to programmatically create and manage use case diagrams (actors, use cases, subjects, relationships) in StarUML via a REST API.

Enables developers to extract and organize Figma design files, including complete node data (tree structure and images) for AI understanding and code generation.

Enables AI assistants to read Figma design files and automatically map responsive relationships between mobile and desktop screens to generate accurate frontend code. Eliminates manual copy-pasting by providing direct access to design tokens, dimensions, and screen layouts within AI-powered IDEs.

A Model Context Protocol (MCP) server that enhances Figma design integration by adding element position information to API responses, enabling AI assistants to better understand spatial relationships and convert designs to code more accurately.

Enables AI hosts to interact with a browser CAD workbench through model-neutral local stdio or authenticated remote MCP tools, supporting command discovery, design-health analysis, and scoped previews while never reading local files or taking over open sessions.

An MCP server that provides AI tools with deep understanding of WireUI v2.x components and comprehensive icon support for Heroicons and Phosphor Icons.

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