Bezel for AI-Assisted Teams

Give your AI coding agents a design system to follow

Agents can write the component. What they can’t do is guess your visual language from scattered code and prompts. Bezel gives them structured design tokens and guidelines over MCP, so generated UI starts closer to the product you’re actually building.

Get Started Connect Bezel MCP

Graphic placeholderHumans and agents reading one design systemA diagram of a Bezel project feeding the same tokens and guidelines to a designer, a developer, and an AI coding agent.

Bezel MCP

Stop asking AI to guess your design system

Connect compatible coding agents through MCP and they can query your design tokens, guidelines, and project context as they work.

Tools are shaped for agents: fetch the project manifest, pull a few tokens by path, or grab a bundle for a button, card, or whole dashboard shell.

Graphic placeholderMCP relationship diagramYour Bezel Project → Design Tokens + Guidelines → Bezel MCP → AI Coding Tools, showing only tested integrations.

AI Design Agent

An agent that knows what you’re working on

The Bezel design agent lives inside the workflow with context about your project. Ask for another color direction, challenge a typography decision, or find the right semantic token.

You shouldn’t have to re-explain your product every time you need a design decision.

Graphic placeholderDesign agent conversationThe AI conversation beside the part of the design system being changed, with a recommendation being accepted and the interface updating.

One Source of Truth

The same rules for humans and AI

A few values in code, others in design files, and a document somewhere explaining how things should work leaves an agent with nothing to read.

Bezel gives those decisions a home. Update the system once and every developer and every agent works from it.

Graphic placeholderBezel at the centerHub diagram with Bezel connected to design tokens, components, documentation, developers, MCP, and AI agents.

What AI-assisted teams do with Bezel

Keep generated UI on brand

Agent-written components reach for your tokens instead of a plausible-looking default theme.

Vibe code with a real system

Move fast with AI tools without every new screen drifting a little further off-brand.

Stop re-explaining the product

Put the design context in one place agents can query instead of repeating it in every prompt.

Works with the AI tools you already use

Bezel connects over MCP, the open protocol supported by modern coding agents.

Claude Code: Connect Bezel MCP and Claude Code can read your tokens and guidelines while it works.
Cursor: Add Bezel as an MCP server so generated components use your design system.
Any MCP-aware tool: If a tool speaks MCP, it can connect to Bezel.
Your developers: The same tokens export for human-written code, so nothing diverges.

FAQ

Questions from AI-assisted teams

How does Bezel keep AI-generated UI consistent?

Instead of expecting an agent to infer your visual language from code alone, Bezel gives compatible agents structured access over MCP to the design tokens and guidelines they should follow.

What is MCP and why does it matter for a design system?

MCP is an open protocol that lets AI tools query external context. Bezel MCP exposes your design system through it, so an agent can ask for real tokens and rules instead of guessing.

Which AI coding agents can use a Bezel design system?

Any MCP-aware tool can connect, including Claude Code and Cursor. Bezel only lists integrations that have actually been tested.

Does the AI make design decisions for me?

No. The Bezel design agent recommends and explains, and you stay in control of every token and guideline. Coding agents read the system you defined; they don’t change it.

Same System

Zero Drift Design

Vibe with style

Start a Bezel project and give humans and AI the same design rules.

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