ext-apps/examples/budget-allocator-server
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docs: add MCP client configuration to example READMEs
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tsconfig.json Add budget-allocator-server example 2025-12-04 14:33:01 -06:00
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vite.config.ts Add budget-allocator-server example 2025-12-04 14:33:01 -06:00

Example: Budget Allocator App

An interactive budget allocation tool demonstrating real-time data visualization with MCP Apps.

Initial Over budget Tech-heavy

MCP Client Configuration

Add to your MCP client configuration (stdio transport):

{
  "mcpServers": {
    "budget-allocator": {
      "command": "npx",
      "args": [
        "-y",
        "--silent",
        "--registry=https://registry.npmjs.org/",
        "@modelcontextprotocol/server-budget-allocator",
        "--stdio"
      ]
    }
  }
}

Features

  • Interactive Sliders: Adjust budget allocation across 5 categories (Marketing, Engineering, Operations, Sales, R&D)
  • Donut Chart: Real-time visualization of allocation distribution using Chart.js
  • Sparkline Trends: 24-month historical allocation data per category
  • Percentile Badges: Compare your allocation vs. industry benchmarks
  • Stage Selector: Switch between Seed, Series A, Series B, and Growth benchmarks
  • Budget Presets: Quick selection of $50K, $100K, $250K, or $500K totals

Running

  1. Install dependencies:

    npm install
    
  2. Build and start the server:

    npm run start:http  # for Streamable HTTP transport
    # OR
    npm run start:stdio  # for stdio transport
    
  3. View using the basic-host example or another MCP Apps-compatible host.

Architecture

Server (server.ts)

Exposes a single get-budget-data tool that returns:

  • Category definitions with colors and default allocations
  • Historical data (~120 data points) - 24 months of allocation history per category
  • Industry benchmarks (~60 data points) - Aggregated percentile data by company stage

The tool is linked to a UI resource via _meta.ui.resourceUri.

App (src/mcp-app.ts)

  • Uses Chart.js for the donut chart visualization
  • Renders sparkline trends using inline SVG
  • Computes percentile rankings client-side from benchmark data
  • Updates all UI elements reactively on slider changes