Wellness Pulse
Wellness Pulse MCP is a plug-and-play intelligence layer that transforms raw wellbeing data into clear, actionable insights for AI systems. With a single integration, your copilots, agents, and dashboards gain access to trusted public benchmarks (CDC PLACES) and live institutional wellness signals — no analyst required. 🔗 Website: https://wpulse.org 🧠 What It Does 📊 CDC mental health benchmarks by ZIP or county 🏢 Real-time institutional wellness trends & alerts 🗣️ Plain-English explanations alongside structured JSON 🔌 One integration for all AI workflows ⚡ Built For Healthcare teams, universities, HR platforms, and AI agents that need fast, reliable wellbeing intelligence. 🔒 Privacy First No PII. No tracking. Designed for compliance-conscious environments.
How to connect
Same URL, five paste targets. Ready surface · Auth required. Not a safe-to-install badge. Handshake this URL
Paste into Settings → MCP or .cursor/mcp.json.
{
"mcpServers": {
"wellnesspulse-wellnesspulse": {
"url": "https://wellnesspulse--wellnesspulse.run.tools"
}
}
}
Settings → Connectors → Add → Custom → Web. Paste the URL. Enable in a new chat.
Claude → Settings → Connectors → Add → Custom → Web
Name: Wellness Pulse
URL: https://wellnesspulse--wellnesspulse.run.tools
OAuth only if this server requires it.
Save, start a new chat, enable the connector.
Developer mode custom connector. ChatGPT cannot reach localhost.
Settings → Apps & Connectors → Advanced → Developer mode ON
Create custom connector
Name: Wellness Pulse
MCP server URL: https://wellnesspulse--wellnesspulse.run.tools
Auth: none unless the server requires OAuth
New chat → + → Developer mode → enable the connector
Register the HTTPS URL, then claude mcp list.
claude mcp add --transport http wellnesspulse-wellnesspulse \
https://wellnesspulse--wellnesspulse.run.tools
Pass on session/new as mcpServers when the agent advertised HTTP MCP.
[
{
"type": "http",
"name": "wellnesspulse-wellnesspulse",
"url": "https://wellnesspulse--wellnesspulse.run.tools"
}
]
Paste into a README or docs site. The widget loads snippets from Influzer — still not a SAFE badge.
Same handshake clock as this listing (overlay / warm / seed; live tools/list only if that is missing). Indigo is live_ok, amber is auth_required, gray is unreachable. Not a SAFE badge. Stdio listings have no badge.
[](https://www.influzer.ai/mcp/probe?url=https%3A%2F%2Fwellnesspulse--wellnesspulse.run.tools)
<div data-influzer-install="wellnesspulse-wellnesspulse"></div>
<script async src="https://www.influzer.ai/embed/install.js"></script>
https://www.influzer.ai/embed/mcp/wellnesspulse-wellnesspulse.md
JSON: https://www.influzer.ai/api/v1/install/wellnesspulse-wellnesspulse
Recipes using this server
No published recipes yet for this server.
Listing quality
Observable facts from our catalog and daily probe — not a safe-to-install badge.
- Surface
- Ready surface
- Live handshake
- Auth required
- Auth gate
- Auth gate
- Tools source
- tools/list (live)
Observable catalog + probe facts — not a safe-to-install badge.
Tools
(6)-
get_mental_health_benchmarkCDC PLACES frequent mental distress (FMD) benchmark. Inputs: zip (string) or county_fips (5-digit). If neither provided, returns national summary. Outputs: scope (county|national|national_fallback), core values (pct and CI), optional national_percentile_rank, and marketing_copy.
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get_sector_snapshotSector-level wellness snapshot over a lookback window. Inputs: sector (string), window_days (number, default 90). Outputs: institutions_with_responses, total_responses, avg_wellness_score, note.
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get_basic_alert_guidanceDefault alert thresholds by org_size and location_type (pre-learning baseline). Inputs: org_size (small|mid|large), location_type (campus|ward|store|office|other). Outputs: recommended_drop_pct, window_days, min_responses, rationale.
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get_institution_snapshotInstitution snapshot over a lookback window. Inputs: institution_id (number), window_days (default 30). Outputs: total_responses, avg_wellness_score, last_response_at.
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get_institution_trend_dailyDaily average wellness trend for an institution. Inputs: institution_id (number), window_days (default 90). Outputs: series of { day, avg_wellness, responses } sorted ASC.
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get_institution_alert_checkAlert check: compares last 7d vs prior 7d avg wellness for a drop. Inputs: institution_id (number), drop_threshold_pct (default 15). Outputs: averages {last7, prior7}, drop_pct, threshold_pct, alert (boolean).
Tool source: tools/list (live) · last probed 2026-10-23