Refero MCP: Research-first design skill for AI agents

Refero MCP: Research-First Design Skill for AI Agents

Refero MCP is a specialized design skill for AI agents, engineered to integrate a research-first methodology into the agent development process. By drawing upon a vast dataset of over 150,000 real-world application screens and user flows, Refero MCP empowers AI agents to generate designs that are grounded in established user experience principles and proven design patterns. This skill is particularly valuable for developers seeking to build AI agents capable of producing functional, intuitive, and user-centric interfaces.

What it Does

Refero MCP functions as a component within an AI agent's architecture, providing it with the capability to analyze and synthesize information from a comprehensive library of existing application designs. This allows the AI agent to move beyond purely generative design and instead focus on creating solutions informed by extensive user research and established design best practices. The skill enables agents to understand common UI patterns, effective navigation structures, and successful user flow implementations, leading to more robust and user-friendly design outputs.

Key Features

• Research-Driven Design: Leverages a dataset of 150K+ real app screens and flows for informed design decisions.
• Pattern Recognition: Identifies and applies established UI patterns and user flow structures.
• UX-Centric Output: Facilitates the creation of interfaces optimized for user experience.
• Developer Integration: Designed as a skill for seamless integration into AI agent frameworks.
• Open Source: Available on GitHub for transparency and community contribution.

Who it's For

Refero MCP is intended for AI developers and teams focused on building sophisticated AI agents for design and development tasks. This includes:

• AI Agent Developers: Those building agents that require design generation capabilities.
• UX/UI Engineers: Professionals looking to augment AI-driven design workflows with research-backed insights.
• Product Teams: Groups aiming to accelerate the design process with AI tools that prioritize user experience.
• Researchers: Individuals interested in the application of large-scale design data in AI.