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Interactive Ui Server

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Enables AI agents to render interactive user interfaces such as forms, dashboards, charts, tables, and wizards directly in MCP-compatible clients. Supports stru

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Описание

Enables AI agents to render interactive user interfaces such as forms, dashboards, charts, tables, and wizards directly in MCP-compatible clients. Supports structured data collection and richer interactions beyond text responses.

README

PyPI version License: MIT

MCP Apps UI toolkit — forms, dashboards, charts, tables for AI agents to render interactive UIs.

What Are MCP Apps?

MCP Apps is a 2026 extension to the Model Context Protocol that enables AI agents to go beyond text responses and render interactive user interfaces directly within MCP-compatible clients.

Instead of returning plain text or markdown, agents can generate structured UI schemas that clients render as native components — forms, dashboards, charts, tables, and multi-step wizards. This bridges the gap between conversational AI and application-level interactivity.

Why This Matters

  • Agents become app builders: Instead of describing data, agents can present it visually with charts, dashboards, and tables
  • Structured data collection: Forms and wizards let agents gather complex user input with validation
  • Richer interactions: Toggles, buttons, accordions, and tabs embedded directly in responses
  • Client-agnostic: The JSON schema approach works across any MCP client that supports UI rendering

Tools (6)

Tool Description
create_form Generate interactive forms with text, number, select, checkbox, date fields and validation
create_dashboard Build grid-based dashboards with stat cards, charts, tables, progress bars
create_chart Define charts (bar, line, pie, scatter, area, donut, heatmap) with data and styling
create_table Create sortable, filterable, paginated tables from headers and row data
create_wizard Multi-step form wizards with per-step validation and progress tracking
render_markdown Enhanced markdown with embedded interactive elements (buttons, toggles, inputs, tabs)

Installation

pip install mcp-interactive-ui-server

Quick Start

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "interactive-ui": {
      "command": "interactive-ui-server"
    }
  }
}

Cursor / Windsurf

Add to your MCP settings:

{
  "mcpServers": {
    "interactive-ui": {
      "command": "interactive-ui-server"
    }
  }
}

With uvx (no install needed)

{
  "mcpServers": {
    "interactive-ui": {
      "command": "uvx",
      "args": ["mcp-interactive-ui-server"]
    }
  }
}

Usage Examples

Create a Contact Form

Agent: create_form("Contact Us", [
    {"label": "Name", "type": "text", "required": true},
    {"label": "Email", "type": "email", "required": true},
    {"label": "Subject", "type": "select", "options": ["General", "Support", "Sales"]},
    {"label": "Message", "type": "textarea", "rows": 6}
])

Build a Sales Dashboard

Agent: create_dashboard("Q1 Sales", [
    {"type": "stat_card", "title": "Revenue", "value": "$142K", "trend": "up", "change": "+12%"},
    {"type": "stat_card", "title": "Orders", "value": "1,247", "trend": "up", "change": "+8%"},
    {"type": "chart", "title": "Monthly Sales", "chart_type": "bar",
     "data": {"labels": ["Jan","Feb","Mar"], "datasets": [{"label": "Sales", "values": [42,51,49]}]}},
    {"type": "progress_bar", "title": "Quarterly Target", "value": 72, "max": 100}
])

Generate a Chart

Agent: create_chart("pie",
    {"labels": ["Chrome", "Firefox", "Safari", "Edge"], "values": [65, 15, 12, 8]},
    title="Browser Market Share"
)

Interactive Markdown Report

Agent: render_markdown(
    "# Status Report\n\nSystem health: {{status_badge}}\n\n{{details}}\n\n{{action_btn}}",
    [
        {"type": "badge", "id": "status_badge", "text": "Healthy", "color": "green"},
        {"type": "accordion", "id": "details", "title": "View Details", "content": "All 12 services operational."},
        {"type": "button", "id": "action_btn", "label": "Run Diagnostics", "action": "diagnose"}
    ]
)

UI Schema

All tools return structured JSON following the mcp-ui schema specification:

{
  "$schema": "mcp-ui/<component>/v1",
  "type": "<component_type>",
  "title": "...",
  "...": "component-specific properties",
  "metadata": {
    "created_at": "ISO timestamp",
    "version": "1.0"
  }
}

Schema types: form, dashboard, chart, table, wizard, enhanced_markdown

Requirements

  • Python 3.10+
  • MCP SDK (mcp[cli]>=1.0.0)

License

MIT

from github.com/AiAgentKarl/mcp-interactive-ui-server

Установить Interactive Ui Server в Claude Desktop, Claude Code, Cursor

Рекомендуется · одна команда, все IDE
unyly install mcp-interactive-ui-server

Ставит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.

Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh

Или настроить вручную

Выполни в терминале:

claude mcp add mcp-interactive-ui-server -- uvx mcp-interactive-ui-server

FAQ

Interactive Ui Server MCP бесплатный?

Да, Interactive Ui Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Interactive Ui Server?

Нет, Interactive Ui Server работает без API-ключей и переменных окружения.

Interactive Ui Server — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Interactive Ui Server в Claude Desktop, Claude Code или Cursor?

Открой Interactive Ui Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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