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.
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 inside the tools your team already uses
Six tools that turn a prompt into production-ready UI: wired to the same components, tokens and patterns your engineers ship.
A hosted Model Context Protocol endpoint. Agents call get_component, get_tokens, and get_pattern against the live library: one URL, always in sync.
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.
600+ Figma componentsWhite-label color, radius, spacing and type tokens resolve from one config. Re-theme the whole system and every generation follows instantly.
Live tokensMaps Figma components to their real code counterparts, so design hand-off and AI generation reference the exact same source of truth.
Figma ↔ CodeDescribe a screen in plain language; get a composed, type-safe page built from real primitives: billing pages, dashboards, settings panels.
GenerativeEvery tool call is validated against the schema. Invalid props, missing variants and made-up imports are rejected before they reach your codebase.
0 hallucinated propsThe agent never guesses. It asks the MCP server for the truth, then composes your actual components.
A developer asks for a feature in natural language, right inside their editor.
The agent resolves components, tokens and patterns from the hosted server.
Out comes composed, type-safe code: no invented APIs, no cleanup.
Point any MCP-aware assistant at one URL and it builds with your real components: pulling live props, tokens and patterns instead of guessing from last year's training data.
mcp.orvain.dev · agent session
Hallucinated props in generated output
Median MCP tool-call latency
Components, fully described
AI tools in the offering
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?
How do you guarantee “0 hallucinated props”?
Does this work with my own theme?
Connect Orvain's MCP server in under a minute and let every AI tool build with your real 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
Six tools that turn a prompt into production-ready UI: wired to the same components, tokens and patterns your engineers ship.
get_component, get_tokens, and get_pattern against the live library: one URL, always in sync.The agent never guesses. It asks the MCP server for the truth, then composes your actual components.
A developer asks for a feature in natural language, right inside their editor.
The agent resolves components, tokens and patterns from the hosted server.
Out comes composed, type-safe code: no invented APIs, no cleanup.
Hallucinated props in generated output
Median MCP tool-call latency
Components, fully described
AI tools in the offering
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.
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.
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.
Yes. White-label tokens resolve from one config file. Re-theme once and every subsequent generation (colors, radii, spacing, type) follows your brand automatically.
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.