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Vibe MCP Server

MCP Server

Intelligent component guidance for React developers

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About

The Vibe MCP server offers AI-powered assistance for working with Vibe Design System components—discover APIs, view usage examples, find icons, and follow best practices within your IDE or AI tools.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Vibe Design System

The Vibe Design System MCP server addresses a common pain point for developers building React applications: quickly locating the right component, understanding its API, and ensuring best‑practice usage. When a team is scaling or onboarding new members, documentation gaps can slow progress. Vibe’s MCP server bridges that gap by offering an intelligent assistant that lives inside the developer’s workflow. By querying the server, a user can instantly retrieve component signatures, example snippets, recommended icon sets, and styling guidelines—all without leaving the IDE or chat interface.

At its core, the server exposes a lightweight set of endpoints that mirror the design system’s public surface. When invoked, it returns structured data about a component’s props, default values, and available variants. This is particularly valuable for teams that rely on Storybook or a component playground; the MCP can surface live examples from those tools, making the learning curve for new components negligible. Moreover, because the server is built on the Model Context Protocol, it can be integrated with any AI assistant that understands MCP, such as Claude or other conversational agents. This opens the door to context‑aware coding assistance that can suggest the most appropriate component for a given UI requirement or even generate boilerplate code snippets.

Key capabilities include:

  • API discovery – Retrieve a component’s full prop list and type information on demand.
  • Usage examples – Pull ready‑to‑copy snippets from the catalog or playground, ensuring developers see best practices in action.
  • Icon lookup – Suggest relevant icons from the @vibe/icons library that match a component’s purpose.
  • Best‑practice guidance – Offer design guidelines and accessibility tips tailored to each component.

Real‑world scenarios where the MCP shines are plentiful. A front‑end engineer tasked with rapidly prototyping a dashboard can ask the assistant, “Show me a Button component that supports an icon and loading state,” and receive both the API signature and a minimal example. In a code review, a senior developer can query the server to confirm that a component is used correctly according to Vibe’s guidelines. During onboarding, new hires can interact with the MCP to learn the design system without sifting through sprawling documentation.

Integration is straightforward: developers install the package and configure it within their preferred AI development tool. Once running, the MCP server becomes a first‑class citizen in the developer’s ecosystem, augmenting IDEs, chat platforms, and continuous integration pipelines. Its lightweight nature ensures minimal overhead, while its rich metadata guarantees that every query returns actionable information.

In summary, Vibe’s MCP server transforms a static component library into an interactive, AI‑driven knowledge base. By exposing component APIs, examples, and best practices through a standard protocol, it empowers developers to write cleaner code faster, maintain consistency across projects, and keep the design system’s value front‑and‑center in every line of code.