ext-apps/examples/budget-allocator-server
Repository files (latest commit first)
Filename Latest commit message Latest commit date
Olivier Chafik 4c51eb0301
chore: release 0.3.1 (#224)
* chore: release 0.3.1
2026-01-09 18:22:27 +00:00
..
src feat: publish example servers to npm (#184) 2026-01-08 20:08:50 +00:00
mcp-app.html Add color-scheme meta tag to all example apps 2025-12-15 11:42:18 -08:00
package.json chore: release 0.3.1 (#224) 2026-01-09 18:22:27 +00:00
README.md docs: add tool visibility and restructure _meta.ui (#131) 2025-12-16 21:47:40 +00:00
server-utils.ts feat: publish example servers to npm (#184) 2026-01-08 20:08:50 +00:00
server.ts feat: publish example servers to npm (#184) 2026-01-08 20:08:50 +00:00
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.

Initial Over budget Tech-heavy

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