xiry.

Development · Web app

BoardUI

React and Tailwind dashboard UI kit with agentic progress and chat components.

From the Xiry library · Updated 10 October 2026

Visit boardui.com ↗

BoardUI is a component library and design system built with React, Tailwind CSS, and Figma tokens for dashboards and AI interfaces. It includes specialized blocks for AI applications, such as streaming agent task lists, thinking states, token limit cards, and Recharts-based data cards. It integrates via CLI and Model Context Protocol (MCP) so AI coding agents can install components directly into your codebase.

What it's for

  • Build streaming progress feeds for multi-step AI agent workflows
  • Assemble analytics and business dashboards using prebuilt chart cards and data tables
  • Install dashboard components directly using MCP prompts in Cursor or VS Code

Features

  • Agent task progress and thinking indicators with streaming state support
  • 85 React components covering charts, forms, auth, and data tables
  • Tailwind CSS v4 and React Aria foundations with full dark mode support
  • Recharts cards including Sankey, funnel, radial, and radar charts
  • Model Context Protocol (MCP) server integration for AI coding assistants
  • 10 domain-specific dashboard templates such as AI chat, marketing, and healthcare

Pricing

Freemium. Free open-source starter tier; paid Pro licenses start at €149 one-time.

Details

Type
Web app
Category
Development
Topic
UI Components
Open source
Yes
Platforms
Web, Code library, Command line
For
React developers and designers building AI products and data dashboards.
Alternative to
shadcn/ui, Tremor, Tailwind UI
Tags
react, tailwind, dashboard, ai agents, components, mcp

Why it was saved

  • @sitenley, 29 August 2026: Live demo of the agent task list component: each step ("Found project files", "Updated the dark mode tokens", "Registered the theme toggle", "Lint and build passed") streams in with nested sub-steps and file chips, then the final summary with code. Useful both as a tool and as a reference for building streaming agent progress UIs.

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