| Filename | Latest commit message | Latest commit date |
|---|---|---|
* docs: add local development MCP client configuration to READMEs Add instructions for configuring MCP clients to use locally-cloned and modified servers. This allows developers to test local changes with MCP clients like Claude Desktop or VS Code. - Top-level README: Added 'Local Development' section after npx config - All TypeScript examples: Added 'Local Development' subsection with bash one-liner that builds and runs the server - Python examples (qr-server, say-server): Added local path config * docs: include all servers in local development config * docs: use bash wrapper for Python server configs to enable tilde expansion |
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| .. | ||
| src | ||
| .gitignore | ||
| grid-cell.png | ||
| main.ts | ||
| mcp-app.html | ||
| package.json | ||
| README.md | ||
| screenshot.png | ||
| server.ts | ||
| tsconfig.json | ||
| tsconfig.server.json | ||
| vite.config.ts | ||
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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MCP Client Configuration
Add to your MCP client configuration (stdio transport):
{
"mcpServers": {
"customer-segmentation": {
"command": "npx",
"args": [
"-y",
"--silent",
"--registry=https://registry.npmjs.org/",
"@modelcontextprotocol/server-customer-segmentation",
"--stdio"
]
}
}
}
Local Development
To test local modifications, use this configuration (replace ~/code/ext-apps with your clone path):
{
"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
-
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.ui.resourceUri.
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 consistency across requests


