AI integration
AI agents via MCP
Connect an AI assistant to your designs through MCP: it reads the real structure of your file, inspects element properties, writes code from them and checks its work with rendered previews.
- Works with any MCP-capable AI assistant — no custom plugin
- Assistants read real structure and values, not screenshots
- They write code from your design and verify it with previews
What agents can do today
- Browse your design files
- Read page and layer structure
- Inspect sizes, colors and styles
- Generate code from any element
- Render previews to check their work
- Connect from any MCP client
Wiring an assistant to your designs
Connect your assistant
Point any MCP-capable tool — a coding assistant, an agent framework, your own script — at Tuvi's MCP integration. No bespoke plugin required.
Let it read the design
The agent lists files and walks the document: frames, components, text, styles — the same structured data the editor itself works from.
Ask for facts, not guesses
Element properties come back as real values — sizes, colors, type styles, variables — so the model reasons from data instead of estimating from pixels.
Generate and verify
The agent generates code from an element, then renders that element to PNG to check its work — a feedback loop that needs no human screenshots.
Design files as first-class context
Ask an AI coding tool to 'build this screen' from a screenshot and it guesses: colors are approximated from compressed pixels, spacing is estimated, structure is invented. Tuvi's MCP integration removes the guessing. Through the Model Context Protocol — the open standard AI assistants use to reach external tools and data — an agent reads the actual document: which frames exist, how they nest, what each element's real properties are.
That turns design-aware automation from a demo into a workflow. An assistant implementing a feature can pull the exact component structure, request generated code for it and render a reference PNG to compare against — all from the same source of truth your designers edit and your developers inspect in Dev Mode.
Grounded output, honest boundaries
The integration's capabilities are deliberately scoped: listing files, reading structure and properties, generating code, rendering previews. Agents do not silently rewrite your documents — with today's models, an assistant that can quietly restructure a component library is a liability, not a feature. The boundary is stated so you can rely on it.
Two more commitments worth naming: Tuvi never trains models on your designs — the integration answers your agents' requests and nothing else — and MCP is an open standard, so you are wiring your files to an ecosystem, not to one vendor's assistant.
Frequently asked questions
What is MCP, in one paragraph?
The Model Context Protocol is an open standard that lets AI assistants call tools and read data from external systems in a uniform way. Tuvi supports it natively, so any MCP-capable client can work with your design files without a custom integration.
Does Tuvi use my designs to train AI models?
No. The MCP integration responds to your agents' requests and nothing else — your files are never used for model training, the same policy that applies to the editor itself.
Which AI tools can connect?
Anything that speaks MCP: desktop AI assistants, IDE coding agents, agent frameworks or your own scripts. That is the point of building on an open protocol instead of shipping a one-vendor plugin.
Can an agent modify my design files?
Not today. The exposed capabilities are reading structure and properties, generating code and rendering PNG previews. Write access is a boundary we state explicitly rather than a footnote you discover later.