#design

Claude MCP Server to work with figma

experimental gen ai mcp server to generate figma tokens

An MCP server for working with Spline 3D design tool API

Um server MCP para o figma. Cria imagens também.

MCP server to help with chat and dashboard creation. ✅ One consistent framework for charts and dashboards with one common design language. ✅ Validated config output that is readable and easy to alter or maintain. ✅ Live preview of the dashboard to iterate the design until the dashboard is perfect. ✅ Use of local or remote datasets simply by providing a path or URL.

Open source MCP server for monitoring Department of Veterans Affairs design system usage and compliance

Test w/ Figma MCP server to generate a pool services page

Server for EDA Tools, Duke University

Model Context Protocol (MCP) server implementation for Rhinoceros/Grasshopper integration, enabling AI models to interact with parametric design tools

Test repository for MCP server

Design API for AI Agents. Generate social media images, marketing banners, infographics, and documents from text prompts or structured data. 50+ templates, 5 sizes, Unsplash/Pexels photos. One API call - any visual.

MCP server for TouchDesigner

Professional MCP server for seamless Figma design analysis with intelligent comment processing and automated asset downloads. 5-Step Workflow: Framework selection → Design data → Comments → Assets → Reference analysis AI-Optimized: Structured data specifically formatted for AI code generation 10 Framework Support: React, Vue, Angular, Svelte, HTML/CSS/JS, SwiftUI, UIKit, Electron, Tauri, NW.js Smart Comments: Coordinate-based matching of designer comments to UI elements Asset Downloads: Batch download with original Figma export settings CSS Generation: Automatic CSS from Figma properties (padding, margins, borders, effects)

Mirror of

200+ production-ready components your AI already knows. Just describe your UI get clean code, ship faster. Describe, don't code Ask AI what you need in plain English No more template hunting AI creates best UI for your needs Ship by tonight Build entire landing pages with multiple sections

A proof-of-concept for publish design system guidance and code snippets as an MCP server for usage with LLMs

Sidekick lets your AI Assistant to InDesign. Not "talk about" InDesign. Actually control it. Fix your spacing, apply styles, reformat tables—the tedious stuff you know how to do but really don't want to do manually. And for complex talks, you were always able to use ExtendScript, if you learned it. Now you can just ask for what you want in plain English. It works with Claude, Cursor, Windsurf—anything that speaks MCP. And your documents never leave your machine.

AI Banana Image Generator
Edit Images with Natural Language in 1-2 Seconds. Revolutionary Nano Banana AI technology delivers instant image editing and generation. Describe changes in plain English, preserve 95% identity accuracy, and create cohesive multi-image stories—all without traditional editing skills.

Official Magic UI MCP server.

An end-to-end Model Context Protocol (MCP) solution that streamlines the entire UI/UX design workflow - from gathering inspiration to development handoff. This suite integrates multiple specialized MCP servers to automate and enhance the design process through AI assistance.

An MCP server to generate color schemes

hotfire

All existing AI page generation methods always start from scratch. No matter how long your prompt is or how many rounds of adjustments you make, you still can’t get the page you want, which wastes both time and tokens. In fact, the page you want often already exists as a reference. DemoWay MCP Server makes this possible: It empower AI to use a single page or all pages within a workflow of an existing product as a basis to further modify and generate new designs or frontend code This means the AI is no longer guessing or designing based on vague descriptions. Instead, it can modify and adjust based on the real, specific page context you provide, significantly improving the accuracy and efficiency of AI-assisted design.

Klavis AI (YC X25): Open Source, easy to use MCPs on Slack, Discord and Web

Fast, efficient screenshot capture tool for web pages - optimised for Claude and other LLMs with Image support. Automatically tiles full pages into 1072x1072 chunks for optimal AI processing.

An MCP service that turns BizyAir-designed workflows / AI apps into MCP tools and exposes an instant MCP API, so any MCP client can run them conversationally.

A Model Context Protocol (MCP) server that provides comprehensive information about React design systems, along with code generation capabilities for common UI patterns. Currently supports AWS Cloudscape Design System, with plans to add support for Material UI, Chakra UI, Ant Design, and other popular React design systems in the future.

Build AI Agents MCP-based

Connect AI coding agents to Anima Playground, Figma designs, and your team's design system. Bridge the gap between prototypes and production code.

A comprehensive Model Context Protocol (MCP) server providing advanced access to the ChEMBL chemical database.

🎨 Official monday.com UI resources for application development in React.js

MCP (Model Context Protocol) server that enables AI assistants to interact with Storybook design systems. Extract component HTML, analyze styles, and help with design system adoption and refactoring.

Send any website component to Cursor, or Claude Code, in one click. No more screenshots, descriptions, or guesswork—just seamless visual handoffs that your AI coding assistant understands perfectly. Bridge the gap between design and code.

MCP server integration for DaVinci Resolve

A Model Context Protocol MCP server for capturing website screenshots with full page, element, and device size features.

Bridge the gap between design and code. Send pixel-perfect website components directly to Cursor or Claude Code using Model Context Protocol (MCP). No more screenshots or descriptions needed.

Software architecture tooling for the AI age

Career and workforce intelligence built on a deep HR ontology — skill taxonomies, role definitions and responsibilities, compensation and incentive structures, learning and development pathways, sourcing strategies, and role/skill evolution mapping. This structured foundation, combined with a RAG knowledge base curated from 50+ premium sources (HBR, McKinsey, BCG, Gartner, Forrester) and updated 3x daily with live web research, powers 6 guided skills and 42 MCP tools for two audiences: working professionals getting personalized career intelligence (CV optimization, salary benchmarking, career strategy), and HR/TA teams running structured talent evaluation, candidate shortlisting, compensation analysis, and consulting-grade workforce research reports. Example Use Cases (for HR/TA teams): 1. Custom Evaluation Models — Train CareerProof on your organization's existing assessment rubrics, scorecards, and evaluation criteria to build custom eval models that evaluate candidates through your specific lens. Upload your competency frameworks and historical assessments, then run inference on new candidates — scored and ranked exactly how your team would, at scale. 2. Candidate Evaluation & Shortlisting — Set up a hiring context with company profile and job description, upload candidate CVs, then batch-rank them with GEM competency scoring and JD-FIT matching. Apply your custom eval models for organization-specific scoring, or deep-dive any candidate with a 360-degree evaluation including tailored interview questions derived from skill taxonomy analysis. 3. Workforce Research Reports — Generate consulting-grade PDF reports across 16 types (salary benchmarking, skills gap analysis, org design, DEI assessment, succession planning, sourcing strategy, and more). Each report is grounded in real-time market data from premium sources and structured around HR ontology — role definitions, compensation structures, L&D pathways, and skill evolution mapping. 4. Compensation & Incentive Benchmarking — Get market-calibrated salary and total compensation intelligence for any role, location, and industry. Analysis is structured around compensation and incentive frameworks from the HR ontology, enriched with live web research and curated knowledge base data covering base salary, equity, bonuses, and benefits. Example Use Cases (for the working professional or career coach): 1. Career Intelligence Chat (Hyper-Personalized) — Ask career strategy questions and get hyper-personalized responses that fuse your CV context with deep insights from the career and workforce RAG knowledge base. Salary benchmarks calibrated to your function and location, industry disruption analysis mapped to your skill profile, and career pivot recommendations grounded in role evolution data — not surface-level answers, but intelligence drawn from the same sources that inform executive strategy. 2. CV Optimization (Hyper-Personalized) — Upload your CV and receive a hyper-personalized positioning pipeline that combines your actual experience with deep insights from our career and workforce RAG knowledge base. Market analysis calibrated to your industry and seniority, career opportunity identification grounded in role/skill evolution data, and targeted edits with trade-off analysis — not generic advice, but intelligence shaped by 50+ premium research sources and your unique career trajectory.

Penpot MCP is a revolutionary Model Context Protocol (MCP) server that bridges the gap between AI language models and Penpot, the open-source design and prototyping platform. This integration enables AI assistants like Claude (in both Claude Desktop and Cursor IDE) to understand, analyze, and interact with your design files programmatically. 🎯 Key Benefits 🤖 AI-Native Design Analysis: Let Claude AI analyze your UI/UX designs, provide feedback, and suggest improvements ⚡ Automated Design Workflows: Streamline repetitive design tasks with AI-powered automation 🔍 Intelligent Design Search: Find design components and patterns across your projects using natural language 📊 Design System Management: Automatically document and maintain design systems with AI assistance 🎨 Cross-Platform Integration: Works with any MCP-compatible AI assistant (Claude Desktop, Cursor IDE, etc.)