ext-apps/examples/budget-allocator-server
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Jonathan Hefner 61cd4ed219 Use content instead of structuredContent in examples
Not all MCP clients support structuredContent in MCP tool results, so
examples now return data as JSON in content and parse it client-side.

Pattern used:
- Server: content: [{ type: "text", text: JSON.stringify(data) }]
- Client: JSON.parse(result.content!.filter(...).map(...).join(""))

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-05 16:35:20 -06:00
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src Use content instead of structuredContent in examples 2025-12-05 16:35:20 -06:00
mcp-app.html Add budget-allocator-server example 2025-12-04 14:33:01 -06:00
package.json Add budget-allocator-server example 2025-12-04 14:33:01 -06:00
README.md Add budget-allocator-server example 2025-12-04 14:33:01 -06:00
server.ts Use content instead of structuredContent in examples 2025-12-05 16:35:20 -06:00
tsconfig.json Add budget-allocator-server example 2025-12-04 14:33:01 -06:00
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.

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 start
    

    The server will listen on http://localhost:3001/mcp.

  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[RESOURCE_URI_META_KEY].

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