* 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>
58 lines
2.6 KiB
Markdown
58 lines
2.6 KiB
Markdown
# Example: Cohort Heatmap App
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A demo MCP App that displays cohort retention data as an interactive heatmap, showing customer retention over time by signup month.
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<table>
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<tr>
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<td><a href="https://modelcontextprotocol.github.io/ext-apps/screenshots/cohort-heatmap-server/01-initial-view.png"><img src="https://modelcontextprotocol.github.io/ext-apps/screenshots/cohort-heatmap-server/01-initial-view.png" alt="Initial view" width="100%"></a></td>
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<td><a href="https://modelcontextprotocol.github.io/ext-apps/screenshots/cohort-heatmap-server/02-hover-state.png"><img src="https://modelcontextprotocol.github.io/ext-apps/screenshots/cohort-heatmap-server/02-hover-state.png" alt="Hover state" width="100%"></a></td>
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<td><a href="https://modelcontextprotocol.github.io/ext-apps/screenshots/cohort-heatmap-server/03-low-retention-hover.png"><img src="https://modelcontextprotocol.github.io/ext-apps/screenshots/cohort-heatmap-server/03-low-retention-hover.png" alt="Low retention hover" width="100%"></a></td>
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</tr>
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</table>
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## Features
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- **Cohort Retention Heatmap**: Color-coded grid showing retention percentages across cohorts and time periods
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- **Multiple Metrics**: Switch between Retention %, Revenue Retention, and Active Users
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- **Period Types**: View data by monthly or weekly intervals
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- **Interactive Exploration**: Hover cells for detailed tooltips, click to highlight rows/columns
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- **Color Scale**: Green (high retention) through yellow to red (low retention)
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- **Theme Support**: Adapts to light/dark mode preferences
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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-cohort-data` tool that returns:
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- Cohort rows with signup month, original user count, and retention cells
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- Period headers and labels
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- Configurable parameters: metric type, period type, cohort count, max periods
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The tool generates synthetic cohort data using an exponential decay model with configurable retention curves per metric type.
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### App (`src/mcp-app.tsx`)
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- Uses React for the heatmap visualization
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- Fetches data on mount and when filters change
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- Displays retention percentages in a grid with HSL color interpolation
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- Shows detailed tooltips on hover with user counts and exact retention values
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- Supports row/column highlighting on cell click
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