Boomerang Wellbeing Planner
Generates personalised 12-week wellbeing planners for Australian near-retirees, integrating ABS statistics and providing an interactive journey visualization.
README
Boomerang Wellbeing Planner — MCP Server
A Node.js MCP (Model Context Protocol) server that generates personalised 12-week wellbeing planners for Australian near-retirees. It exposes a single MCP tool over Streamable HTTP (so it is reachable over a network URL from clients like ServiceNow), calls the Anthropic API to generate the plan content, and serves an interactive "journey path" visualisation of each plan.
What it does
- An MCP client calls the
generate_wellbeing_plantool with a free-text wellbeing concern. - The server asks Claude (default model:
claude-sonnet-5) for a 12-week, milestone-based plan, grounded in ABS statistics about loneliness and community participation among older Australians. The response is schema-constrained, parsed, and validated. The plan never contains medical or clinical advice — sensitive topics are framed as "worth discussing with a GP or counsellor". - The plan is stored (in-memory + a simple JSON file, no database) and rendered as a warm, calm HTML journey: one node per week on a connected path, colour-coded by responsible agent (wellbeing = rose, connection = blue), with a circular progress ring showing the overall wellbeing score.
- The tool returns both the raw JSON plan and a
view_urlto that page.
Everything runs on one server / one port: POST /mcp (MCP endpoint) and GET /plans/:plan_id
(viewer).
Setting the ANTHROPIC_API_KEY secret in Replit
- Open the Repl and click Tools → Secrets (padlock icon).
- Add a secret with key
ANTHROPIC_API_KEYand your key from console.anthropic.com as the value. - Click Run. Replit installs dependencies on boot and starts the server on
$PORT.
Optional secrets: ANTHROPIC_MODEL (defaults to claude-sonnet-5) and BASE_URL
(auto-detected on Replit). For local development, copy .env.example to .env.
MCP tool schema
Tool: generate_wellbeing_plan
Input:
| Field | Type | Required | Description |
|---|---|---|---|
user_query |
string | yes | The user's free-text wellbeing concern |
emotional_state |
string | no | e.g. "lonely", "anxious", "low motivation" |
age_bracket |
string | no | e.g. "65-70" |
Output (returned as JSON text content):
{
"plan": {
"plan_id": "<uuid>",
"generated_at": "<iso datetime>",
"overall_wellbeing_score": 62,
"weeks": [
{
"week_offset": 0,
"theme": "Gentle first steps",
"milestones": [
{
"title": "Take a 20-minute morning walk twice this week",
"target_date": "Week 1",
"owner": "retiree",
"agent_responsible": "wellbeing",
"confidence": 0.85
}
]
}
]
},
"view_url": "https://<repl-domain>/plans/<plan_id>"
}
weeks covers offsets 0–11, with a check-in week every 3 weeks. owner is "retiree" or
"agent"; agent_responsible is "wellbeing" or "connection"; confidence is 0.00–1.00.
Testing it manually
With curl
The MCP Streamable HTTP transport takes JSON-RPC over POST. Call the tool directly:
curl -s -X POST "http://localhost:3000/mcp" \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-d '{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "generate_wellbeing_plan",
"arguments": {
"user_query": "I retire in 6 months and I am worried I will feel lonely and aimless",
"emotional_state": "anxious",
"age_bracket": "65-70"
}
}
}'
(Replace http://localhost:3000 with your Repl URL.) List the available tools with
"method": "tools/list", "params": {}. The response includes the plan JSON and the view_url —
open it in a browser to see the interactive journey.
With MCP Inspector
npx @modelcontextprotocol/inspector
Choose transport Streamable HTTP, enter https://<your-repl>/mcp, connect, and run
generate_wellbeing_plan from the Tools tab.
REST endpoint: render a plan as a PNG
POST /render-plan-image takes a plan JSON (the same weeks[] schema shown above) and renders
it server-side to a PNG using node-canvas — no headless browser involved.
Response: { "image_base64": "<png bytes as base64>", "content_type": "image/png" }.
Returns 400 with a clear message if weeks is missing. The canvas is 900px wide with a
1400px minimum height, growing taller if the plan's milestones need the room.
curl -s -X POST "http://localhost:3000/render-plan-image" \
-H "Content-Type: application/json" \
-d @plan.json | node -e "
let d=''; process.stdin.on('data',c=>d+=c).on('end',()=>{
require('fs').writeFileSync('plan.png', Buffer.from(JSON.parse(d).image_base64,'base64'));
console.log('wrote plan.png');
})"
Dependency note: the
canvaspackage is an optional dependency (its prebuilt binary installs cleanly on Replit/Linux). On platforms where it can't build, the server falls back to the API-compatible@napi-rs/canvasautomatically.
Local development
npm install
cp .env.example .env # add your ANTHROPIC_API_KEY
npm start # http://localhost:3000
Project layout
server.js Express app: /mcp (Streamable HTTP, stateless) + /plans/:id viewer
src/generatePlan.js Anthropic API call, schema-constrained output, validation
src/renderPlan.js Self-contained HTML journey-path renderer
src/planStore.js In-memory store persisted to data/plans.json
.replit / replit.nix Replit run + environment config
Note: This project provides general lifestyle planning only — never medical or psychological advice.
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