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🧠 What Is Wellness Pulse MCP?

Wellness Pulse MCP is a Model Context Protocol (MCP) server that bridges the gap between raw wellbeing data and AI-powered understanding.

With a single integration, your AI gets access to:

• 📊 CDC PLACES public benchmarks — trusted mental health data for any ZIP code or county in the US
• 🏢 Institutional wellness signals — live trends, snapshots, and alert checks from your organization's Wellness Pulse data
• 🗣️ Plain-English explanations — AI-ready summaries returned alongside structured JSON

Built for fast "ask → answer" workflows in copilots, automations, and AI dashboards — no human analysis needed in the loop.

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✨ Why Teams Add Wellness Pulse MCP

Capability	What It Unlocks
📖 Instant Narrative	Your AI explains "what changed and why it matters" without a human analyst.
📍 CDC Benchmarks	County-level mental distress context for marketing decks, reports, and grant applications.
📡 Live Institution Signals	Daily trends + alert checks that catch wellbeing drops before they become crises.
🔌 One Integration	Add the MCP once — reuse it across every copilot, agent, and dashboard your team runs.
🔒 Privacy-First	No user tracking. No identifiers. Trusted by institutions that take privacy seriously.

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🏗️ Architecture Overview

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🛠️ Available Tools

🌍 Public Benchmark Tools

get_mental_health_benchmark

Fetches CDC PLACES Frequent Mental Distress (FMD) data for a given ZIP code or county FIPS.

Arguments:

Parameter	Type	Required	Description
zip	string	optional*	5-digit US ZIP code
county_fips	string	optional*	County FIPS code

At least one of zip or county_fips is required.

Returns: scope, values, national_percentile_rank (optional), marketing_copy

Example use case: "What's the CDC mental distress benchmark for ZIP 94597?"

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get_basic_alert_guidance

Returns default alert thresholds based on organization size and location type — no institution ID needed.

Arguments:

Parameter	Type	Required	Description
org_size	string	✅	e.g. "small", "medium", "large"
location_type	string	✅	e.g. "urban", "rural", "suburban"

Example use case: "What alert thresholds should we use for a mid-size suburban institution?"

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🏢 Institution Data Tools

These tools require a valid institution identifier (institution_id) from your Wellness Pulse account.

get_institution_snapshot

A point-in-time snapshot of wellness data for your institution over a given window.

Arguments:

Parameter	Type	Required	Description
institution_id	string	✅	Your Wellness Pulse institution ID
window_days	integer	✅	Look-back window in days (e.g. 30, 90)

Returns: response_count, avg_wellness_score, last_response_at

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get_institution_trend_daily

Fetches a daily time-series of wellness scores and response counts.

Arguments:

Parameter	Type	Required	Description
institution_id	string	✅	Your Wellness Pulse institution ID
window_days	integer	✅	Number of days to include

Returns: Array of { day, avg_wellness, responses } objects

Example use case: "What's our wellness trend for the last 90 days?"

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get_institution_alert_check

Compares last 7 days vs prior 7 days and flags significant drops.

Arguments:

Parameter	Type	Required	Description
institution_id	string	✅	Your Wellness Pulse institution ID

Returns: drop_pct, alert (boolean flag)

Example use case: "Did we drop week-over-week? Should we be concerned?"

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get_sector_snapshot

Sector-level aggregated wellness data across institutions.

Arguments:

Parameter	Type	Required	Description
sector	string	✅	Sector identifier
window_days	integer	✅	Look-back window in days

Returns: institutions_with_responses, total_responses, avg_wellness_score

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🚀 Getting Started

Step 1 — Add to Your AI Client

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "Wellness Pulse": {
      "url": "https://wpulse.org/mcp/",
      "transport": "http-stream"
    }
  }
}

Cursor (.cursor/mcp.json)

{
  "mcpServers": {
    "Wellness Pulse": {
      "url": "https://wpulse.org/mcp/",
      "transport": "http-stream"
    }
  }
}

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Step 2 — Initialize a Session (via cURL)

curl -s https://wpulse.org/mcp/ \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "initialize",
    "params": {
      "protocolVersion": "2025-03-26",
      "capabilities": {},
      "clientInfo": { "name": "my-app", "version": "1.0.0" }
    }
  }'

📌 Capture the mcp-session-id from the response headers — you'll need it for all subsequent calls.

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Step 3 — List Available Tools

curl -s https://wpulse.org/mcp/ \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "mcp-session-id: <YOUR_SESSION_ID>" \
  -d '{ "jsonrpc": "2.0", "id": 2, "method": "tools/list", "params": {} }'

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Step 4 — Call a Tool

Example: Fetch CDC benchmark for a ZIP code

curl -s https://wpulse.org/mcp/ \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "mcp-session-id: <YOUR_SESSION_ID>" \
  -d '{
    "jsonrpc": "2.0",
    "id": 3,
    "method": "tools/call",
    "params": {
      "name": "get_mental_health_benchmark",
      "arguments": { "zip": "94597" }
    }
  }'

Example: Check institution alert status

curl -s https://wpulse.org/mcp/ \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "mcp-session-id: <YOUR_SESSION_ID>" \
  -d '{
    "jsonrpc": "2.0",
    "id": 4,
    "method": "tools/call",
    "params": {
      "name": "get_institution_alert_check",
      "arguments": { "institution_id": "inst_abc123" }
    }
  }'

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💬 Example Prompts to Ask Your AI

Once Wellness Pulse MCP is connected, try asking your AI:

"What's our wellness trend for the last 90 days?"
"Did we drop week-over-week? Why might that matter?"
"What's the CDC mental distress benchmark for ZIP 94597?"
"Write a short exec update with our wellness numbers and CDC context."
"Are we above or below the national average for mental distress?"
"Flag any alert conditions in our institution data this week."
"Summarize the sector snapshot and highlight any outliers."

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🔌 Endpoints Reference

Type	URL
HTTP Stream (canonical)	https://wpulse.org/mcp/
HTTP Stream (redirect)	https://wpulse.org/mcp
SSE	https://wpulse.org/sse

Required headers for HTTP Streaming:

Content-Type: application/json
Accept: application/json, text/event-stream

All calls use JSON-RPC 2.0.

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🔐 Privacy & Security

Wellness Pulse MCP is built with a privacy-first architecture:

• ✅ No user tracking or behavioral logging
• ✅ No personally identifiable information (PII) stored or transmitted
• ✅ Institution data is scoped and access-controlled per account
• ✅ All transport over HTTPS
• ✅ Designed for compliance-conscious environments (healthcare, education, HR)

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🗺️ Use Cases

🏥 Healthcare & Employee Wellness Teams

Use daily trend monitoring and week-over-week alert checks to detect emerging burnout or distress signals before they escalate — and give clinical or HR leadership an AI-generated executive summary on demand.

🎓 Universities & Educational Institutions

Combine CDC county benchmarks with your student wellness survey data to contextualize scores relative to regional norms — ideal for accreditation reports and student affairs presentations.

📈 HR Tech & Wellness Platforms

Embed Wellness Pulse MCP into your existing copilot or dashboard product to instantly add benchmarked mental health context and trend narration — without building your own data pipeline.

📢 Public Health Communications

Pull CDC PLACES FMD data by ZIP or county to generate marketing copy, grant narratives, and community health reports grounded in authoritative public data.

🤖 AI Agents & Automations

Wire Wellness Pulse MCP into multi-step agents that periodically check for alert conditions, draft stakeholder updates, and route escalations — all without human-in-the-loop analysis.

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📚 Resources

• 🌐 Website: wpulse.org
• 📖 MCP Protocol Docs: modelcontextprotocol.io
• 📊 CDC PLACES Data: cdc.gov/places
• 🐛 Issues / Support: wpulse.org

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📄 License

This server is available under an Institutional License. Please visit wpulse.org for licensing details and institutional access.

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