AI tools, native to
your design system.

A hosted MCP server, component context, and guardrails, so Cursor, Claude Code and v0 generate against your real API, tokens and patterns. Not a hallucinated one.

Works with

CursorClaude Codev0WindsurfGitHub CopilotFigma MCP

Everything your agent needs
to ship with your system.

Six tools that turn a prompt into production-ready UI: wired to the same components, tokens and patterns your engineers ship.

Orvain MCP Server

A hosted Model Context Protocol endpoint. Agents call get_component, get_tokens, and get_pattern against the live library: one URL, always in sync.

Component Context

Full prop tables, slots, variants and usage examples streamed into the model's context, so it knows the API surface before it writes a single line.

Token Sync

White-label color, radius, spacing and type tokens resolve from one config. Re-theme the whole system and every generation follows instantly.

Code Connect

Maps Figma components to their real code counterparts, so design hand-off and AI generation reference the exact same source of truth.

Prompt → Component

Describe a screen in plain language; get a composed, type-safe page built from real primitives: billing pages, dashboards, settings panels.

Guardrails

Every tool call is validated against the schema. Invalid props, missing variants and made-up imports are rejected before they reach your codebase.

From prompt to
real, shippable props.

The agent never guesses. It asks the MCP server for the truth, then composes your actual components.

  1. 01

    Prompt

    A developer asks for a feature in natural language, right inside their editor.

  2. 02

    Orvain MCP

    The agent resolves components, tokens and patterns from the hosted server.

  3. 03

    Real Props

    Out comes composed, type-safe code: no invented APIs, no cleanup.

0

Hallucinated props in generated output

42ms

Median MCP tool-call latency

45

Components, fully described

6

AI tools in the offering

Questions,
answered.

What is an MCP server, exactly?

Model Context Protocol is an open standard that lets AI tools call structured “tools” over a connection. Our hosted endpoint exposes your component library (its props, tokens and patterns) so any MCP-aware assistant can query the real source instead of guessing from training data.

Which AI tools are supported?

Anything that speaks MCP today (Cursor, Claude Code, Windsurf, and a growing list) plus drop-in adapters for v0 and GitHub Copilot. Connecting is a single config entry pointing at mcp.orvain.dev.

How do you guarantee “0 hallucinated props”?

Every generation is validated against the live component schemas. Props that don’t exist, missing required variants, and invented imports are rejected before code is written: the agent is forced to correct itself against the real API.

Does this work with my own theme?

Yes. White-label tokens resolve from one config file. Re-theme once and every subsequent generation (colors, radii, spacing, type) follows your brand automatically.

The Orvain Dispatch

Be first in, and 10% off.

Join the list and we’ll email you the moment the code library and MCP server go live: with a 10% discount code to use whenever you decide to buy.

One email when it ships. No spam, and you can unsubscribe anytime.