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.

MCP Client Configuration

Add to your MCP client configuration (stdio transport):

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

$3

To test local modifications, use this configuration (replace ~/code/ext-apps with your clone path):

`json
{
"mcpServers": {
"customer-segmentation": {
"command": "bash",
"args": [
"-c",
"cd ~/code/ext-apps/examples/customer-segmentation-server && npm run build >&2 && node dist/index.js --stdio"
]
}
}
}
`

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

1. Install dependencies:

`bash
npm install
`

2. Build and start the server:

`bash
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

$3

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.ui.resourceUri`.

$3

- 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

$3

- 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 consistency across requests