4ca20f21c4* Restructure threejs-server README to match marketing examples - Update title format to "Example: Three.js App" - Constrain screenshot width using table layout - Add Features section with key capabilities - Reorganize Running section with Tool Input subsection - Add Architecture section describing server and app components - Remove implementation-focused sections (WidgetProps, Creating a New Widget) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * Add bun as devDependency to example packages npm install now automatically installs bun, eliminating the need for separate installation instructions. Removed manual bun install step from customer-segmentation-server README. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * Add start:http and start:stdio npm scripts to examples For the 6 examples supporting --stdio transport, add explicit scripts: - serve:http / serve:stdio for running the server - start:http / start:stdio for build + serve - start now aliases to start:http for backward compatibility Update READMEs to document both transport options. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * Default basic-host SERVERS to localhost:3001/mcp - Change threejs-server default port from 3109 to 3001 for consistency - Add default SERVERS value in basic-host serve.ts - Document SERVERS env var in basic-host README 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * Improve Examples section in README Frame the three basic examples as foundational starting points and add a link to the examples directory for additional demo apps. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
57 lines
2.5 KiB
Markdown
57 lines
2.5 KiB
Markdown
# Example: Budget Allocator App
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An interactive budget allocation tool demonstrating real-time data visualization with MCP Apps.
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<table>
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<tr>
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<td><a href="https://modelcontextprotocol.github.io/ext-apps/screenshots/budget-allocator-server/01-initial.png"><img src="https://modelcontextprotocol.github.io/ext-apps/screenshots/budget-allocator-server/01-initial.png" alt="Initial" width="100%"></a></td>
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<td><a href="https://modelcontextprotocol.github.io/ext-apps/screenshots/budget-allocator-server/02-over-budget.png"><img src="https://modelcontextprotocol.github.io/ext-apps/screenshots/budget-allocator-server/02-over-budget.png" alt="Over budget" width="100%"></a></td>
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<td><a href="https://modelcontextprotocol.github.io/ext-apps/screenshots/budget-allocator-server/03-tech-heavy.png"><img src="https://modelcontextprotocol.github.io/ext-apps/screenshots/budget-allocator-server/03-tech-heavy.png" alt="Tech-heavy" width="100%"></a></td>
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</tr>
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</table>
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## Features
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- **Interactive Sliders**: Adjust budget allocation across 5 categories (Marketing, Engineering, Operations, Sales, R&D)
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- **Donut Chart**: Real-time visualization of allocation distribution using Chart.js
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- **Sparkline Trends**: 24-month historical allocation data per category
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- **Percentile Badges**: Compare your allocation vs. industry benchmarks
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- **Stage Selector**: Switch between Seed, Series A, Series B, and Growth benchmarks
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- **Budget Presets**: Quick selection of $50K, $100K, $250K, or $500K totals
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## Running
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1. Install dependencies:
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```bash
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npm install
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```
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2. Build and start the server:
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```bash
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npm run start:http # for Streamable HTTP transport
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# OR
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npm run start:stdio # for stdio transport
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```
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3. View using the [`basic-host`](https://github.com/modelcontextprotocol/ext-apps/tree/main/examples/basic-host) example or another MCP Apps-compatible host.
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## Architecture
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### Server (`server.ts`)
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Exposes a single `get-budget-data` tool that returns:
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- Category definitions with colors and default allocations
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- Historical data (~120 data points) - 24 months of allocation history per category
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- Industry benchmarks (~60 data points) - Aggregated percentile data by company stage
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The tool is linked to a UI resource via `_meta[RESOURCE_URI_META_KEY]`.
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### App (`src/mcp-app.ts`)
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- Uses Chart.js for the donut chart visualization
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- Renders sparkline trends using inline SVG
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- Computes percentile rankings client-side from benchmark data
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- Updates all UI elements reactively on slider changes
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