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Lets AI inspect a design system and generate related React code.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "@lando-labs/lando-ds-mcp" yet — see the docs or source repo.
Using the Lando Labs Design System, generate a React page example that builds a settings panel with existing components, icons, and theme presets.
A React example using the design system, including relevant components, icons, and theme configuration.
List the color and spacing design tokens in the Lando Labs Design System and suggest which values fit a form interface.
A list of design tokens plus recommendations for form-related usage.
Based on the hooks available in the Lando Labs Design System, generate a React example showing how to call them and organize state logic in a page.
A React code sample that uses the design system hooks with brief explanation.
When building React interfaces, developers can let AI inspect the design system's components, icons, and theme presets to generate code that better matches the system.
When designers and frontend developers collaborate, they can use this tool to inspect design tokens and available building blocks, reducing mismatches in colors, spacing, and component usage.
Teams can connect this MCP tool to an AI agent so it can generate code and answer queries grounded in React components, hooks, icons, and theme resources.
It is an MCP server for the Lando Labs Design System. It enables AI agents to inspect and generate code related to React components, hooks, icons, design tokens, and theme presets through 15 tools.
It supports inspection and code generation around React components, hooks, icons, design tokens, and theme presets. For the detailed tool list and exact capability boundaries, check the source repository.
The provided material does not include installation steps, runtime requirements, or key setup details. Please check the source repository for exact integration instructions and prerequisites.
Gives AI coding agents queryable design system guidance for accurate implementation.
Discover design system components and generate implementation-ready frontend code automatically.
Search, read, and discover related design system components via MCP.
Lets AI access design tokens and component contracts via MCP consistently.
Generate UI code, layouts, and themes from prompts with refactoring and accessibility checks.
Sync and index component libraries so AI can search, understand, and generate component code.