ext-apps/examples/customer-segmentation-server
Repository files (latest commit first)
Filename Latest commit message Latest commit date
Jonathan Hefner 4ff22d0097
Fix build errors in examples (#180)
* Update `package.json`

* Add TypeScript type checking to example build scripts

Add `tsc --noEmit &&` before `vite build` in all example `package.json`
files to catch type errors during builds. Previously, type errors
in `server.ts` files were not detected because Vite/Bun transpile
without type checking.

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

* Make `_meta` optional in `McpUiAppResourceConfig`

The `_meta` and `ui` properties were required, causing TypeScript errors
when calling `registerAppResource()` without providing metadata.

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

* Fix Zod type compatibility in `registerAppTool()`

Use `ZodRawShapeCompat | AnySchema` from SDK's `zod-compat` module
instead of raw `ZodRawShape` to resolve type errors when examples
pass `ZodObject` schemas to `registerAppTool()`.

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

* Remove unused imports in example apps

- `basic-server-react`: Remove unused `McpUiResourceTeardownResult`
- `customer-segmentation-server`: Remove unused `PostMessageTransport`

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

* Fix CI git install test for fork PRs

Use `github.event.pull_request.head.repo.full_name` to correctly
reference the fork repository when testing git installs from PRs.

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---------

Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-18 11:17:23 +00:00
..
src Fix build errors in examples (#180) 2025-12-18 11:17:23 +00:00
mcp-app.html Add color-scheme meta tag to all example apps 2025-12-15 11:42:18 -08:00
package.json Fix build errors in examples (#180) 2025-12-18 11:17:23 +00:00
README.md docs: add tool visibility and restructure _meta.ui (#131) 2025-12-16 21:47:40 +00:00
server.ts fix(examples): use server.registerTool for non-UI tool + fix missing imports (#173) 2025-12-17 00:17:45 +00:00
tsconfig.json Add customer-segmentation-server example 2025-12-04 14:32:47 -06:00
vite.config.ts Add customer-segmentation-server example 2025-12-04 14:32:47 -06:00

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.

Account age vs revenue Tickets, NPS, engagement Age, engagement, revenue

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:

    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-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 session consistency