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>
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3.2 KiB
Example: Customer Segmentation Explorer
A demo MCP App that displays customer data as an interactive scatter/bubble chart with segment-based clustering. Users can explore different metrics, filter by segment, and click to see detailed customer information.
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Features
- Interactive Scatter Plot: Bubble chart visualization using Chart.js with configurable X/Y axes
- Segment Clustering: 250 customers grouped into 4 segments (Enterprise, Mid-Market, SMB, Startup)
- Axis Selection: Choose from 6 metrics for each axis (Revenue, Employees, Account Age, Engagement, Tickets, NPS)
- Size Mapping: Optional bubble sizing by a third metric for additional data dimension
- Legend Filtering: Click segment pills to show/hide customer groups
- Detail Panel: Hover or click customers to see name, segment, revenue, engagement, and NPS
- Theme Support: Adapts to light/dark mode preferences
Running
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Install dependencies:
npm install -
Build and start the server:
npm run start:http # for Streamable HTTP transport # OR npm run start:stdio # for stdio transport -
View using the
basic-hostexample or another MCP Apps-compatible host.
Architecture
Server (server.ts)
Exposes a single get-customer-data tool that returns:
- Array of 250 generated customer records with segment assignments
- Segment summary with counts and colors for each group
- Optional segment filter parameter
The tool is linked to a UI resource via _meta[RESOURCE_URI_META_KEY].
App (src/mcp-app.ts)
- Uses Chart.js bubble chart for the visualization
- Fetches data once on connection
- Dropdown controls update chart axes and bubble sizing
- Custom legend with clickable segment toggles
- Detail panel updates on hover/click interactions
Data Generator (src/data-generator.ts)
- Generates realistic customer data with Gaussian clustering around segment centers
- Each segment has characteristic ranges for revenue, employees, engagement, etc.
- Company names generated from word-list combinations (e.g., "Apex Data Corp")
- Data cached in memory for session consistency