Figma Mcp Oneshot – A Minimal React + TypeScript Starter for AI‑Driven Design Workflows

Figma Mcp Oneshot is a lightweight MCP server that bundles a React application built with Vite, TypeScript, and a tightly‑configured ESLint pipeline. Its primary goal is to give AI assistants instant access to a fully functional design‑tool interface that can be queried or manipulated through the Model Context Protocol. By exposing this React front‑end as a set of MCP resources, developers can embed dynamic Figma‑like components directly into conversational AI workflows.

What Problem Does It Solve?

Modern design teams often rely on Figma for prototyping and collaboration, but integrating real‑time design data into AI assistants can be cumbersome. Traditional approaches require custom APIs or manual export/import steps, which break the fluidity of AI‑powered design suggestions. Figma Mcp Oneshot eliminates these friction points by presenting a ready‑made, protocol‑ready interface that can be instantiated on demand. AI assistants can call into the server to retrieve component libraries, manipulate layout tokens, or generate design variations without leaving the chat context.

Core Functionality and Value

• React + Vite Base – The server ships a minimal, hot‑reloadable React environment powered by Vite. This ensures rapid iteration on UI components that AI assistants can render or modify in real time.
• TypeScript & ESLint – Strong typing and a robust linting setup guarantee that the codebase remains maintainable, reducing bugs when AI tools interact with the UI layer.
• MCP Resource Exposure – By exposing key components (e.g., design tokens, layout grids) as MCP resources, the server lets AI clients query or update them through simple JSON payloads.
• Fast Refresh – Whether using Babel‑based Fast Refresh or the SWC alternative, developers can see changes instantly without full page reloads, speeding up the design‑AI feedback loop.

Key Features Explained

• Modular Plugins – The template supports both the official and the SWC‑based alternative, giving teams flexibility in build speed versus compatibility.
• Type‑Aware Linting – The ESLint configuration is split into recommended, strict, and stylistic rules, allowing developers to choose the level of safety they need for production code.
• Extensible Lint Rules – Optional plugins such as and provide deeper React‑specific linting, ensuring component best practices are enforced even when AI tools generate JSX.
• Rapid Development – Hot Module Replacement (HMR) guarantees that UI changes propagate instantly, a critical feature when AI assistants need to preview design tweaks on the fly.

Use Cases and Real‑World Scenarios

• AI‑Assisted Prototyping – Designers ask an AI assistant to generate a new layout; the server renders it instantly, allowing immediate visual feedback.
• Dynamic Component Libraries – AI can fetch component definitions from the MCP server, tweak properties, and inject them back into a live design session.
• Design Token Management – Through MCP calls, AI can read or update theme variables (colors, spacing) and observe the changes reflected across the UI in real time.
• Automated Accessibility Checks – AI assistants can trigger linting or accessibility scans on the React components exposed by the server, ensuring designs meet standards before handoff.

Integration with AI Workflows

The MCP server exposes a clean JSON API that AI assistants can consume. By sending simple requests—such as “get component X” or “update property Y”—the assistant can orchestrate complex design tasks without leaving the conversation. The server’s hot‑reload capability means that any modifications suggested by AI are instantly visible, closing the loop between textual intent and visual output. This tight coupling makes Figma Mcp Oneshot an ideal backbone for AI‑driven design pipelines, where rapid iteration and visual validation are paramount.