mcp-interactive-ui-server

mcp-interactive-ui-server

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.

Category
Visit Server

README

mcp-interactive-ui-server

<!-- mcp-name: mcp-interactive-ui-server -->

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

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured