"Tools for Automatically Indexing Code Files and RAG (Retrieval-Augmented Generation)" 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.

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

Enables color conversion between HEX/RGB/HSL/HSV/CMYK, palette generation, WCAG contrast checking, color mixing/adjustment, and CSS gradient creation for AI agents.

Enables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.

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.

Enables conversion of Figma designs into frontend code (React, Vue, HTML, etc.) with high fidelity, including design tokens, assets, and responsive layout. Integrates with AI editors via MCP for a seamless design-to-code workflow.

Aggregates GitHub, GitLab, and Figma development tools via MCP, enabling file access, code search, and design inspection. Also supports executing standalone tasks with Claude Code or Codex CLI.

Enables coding agents to search and retrieve 500+ production-ready React and Tailwind UI sections, page recipes, and brand-styled components over MCP, along with imagery and social post templates.

Provides AI assistants with frontend development tools including component scaffolding, bundle analysis, accessibility checks, and responsive design guidance. Enables automated generation of React components with tests and stories, bundle optimization recommendations, and WCAG compliance fixes.

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.

Enables AI-driven 3D modeling and scene creation in Blender, allowing LLMs to create, modify, and manipulate objects, materials, and assets through natural language.

Enables rigging, animation, and VFX workflows for Roblox through an MCP-compatible chat client, connecting Blender and Roblox Studio for tasks like skeleton fitting, keyframe editing, particle effects, and FBX export.

A comprehensive MCP server for Vue component development and Figma design restoration, featuring snapDOM-powered screenshots, pixel-perfect visual comparison, and automated SVG optimization.

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.

A local, offline MCP server that enables AI agents to collaborate with SketchUp for controlled modeling, editing, and review tasks via 41 MCP tools.

Local MCP bridge that exposes the ChatGPT Figma connector to OpenCode without launching Codex, using the existing authenticated session.

Provides AI-powered tools for UX/UI review, web component generation, and code refactoring using Google Gemini.

Translates natural language commands into structured geometric operations for a simulated CAD engine using LLMs. It enables users to create shapes, modify dimensions, and perform 3D operations like extrusion through the Model Context Protocol.

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