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Jonathan Hefner 6eb82b5562 Refactor server startup functions Rename `startServer` to `startStreamableHTTPServer` and add a new `startStdioServer` helper to make the transport type explicit. Remove the `ServerOptions` interface in favor of reading `PORT` directly from the environment inside the function (defaulting to `3001`). Also update Python examples to default to port `3001` for consistency. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>		2026-01-24 09:27:54 -06:00
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tsconfig.json	Add cohort-heatmap-server example	2025-12-04 14:32:53 -06:00
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vite.config.ts	Add cohort-heatmap-server example	2025-12-04 14:32:53 -06:00

README.md

Example: Cohort Heatmap App

A demo MCP App that displays cohort retention data as an interactive heatmap, showing customer retention over time by signup month.

MCP Client Configuration

Add to your MCP client configuration (stdio transport):

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

Features

Cohort Retention Heatmap: Color-coded grid showing retention percentages across cohorts and time periods
Multiple Metrics: Switch between Retention %, Revenue Retention, and Active Users
Period Types: View data by monthly or weekly intervals
Interactive Exploration: Hover cells for detailed tooltips, click to highlight rows/columns
Color Scale: Green (high retention) through yellow to red (low retention)
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-host example or another MCP Apps-compatible host.

Architecture

Server (`server.ts`)

Exposes a single get-cohort-data tool that returns:

Cohort rows with signup month, original user count, and retention cells
Period headers and labels
Configurable parameters: metric type, period type, cohort count, max periods

The tool generates synthetic cohort data using an exponential decay model with configurable retention curves per metric type.

App (`src/mcp-app.tsx`)

Uses React for the heatmap visualization
Fetches data on mount and when filters change
Displays retention percentages in a grid with HSL color interpolation
Shows detailed tooltips on hover with user counts and exact retention values
Supports row/column highlighting on cell click