Wellness Pulse
Wellness Pulse MCP is a plug-and-play intelligence layer that transforms raw wellbeing data into clear, actionable insights for AI systems.
What it can do
- Get Mental Health Benchmark: CDC PLACES frequent mental distress (FMD) benchmark. Inputs: zip (string) or county_fips (5-digit). If neither provided, returns national summary. Outputs: scope (county|n
- Get Sector Snapshot: Sector-level wellness snapshot over a lookback window. Inputs: sector (string), window_days (number, default 90). Outputs: institutions_with_responses, total_responses, avg_wellne
- Get Basic Alert Guidance: Default 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: r
What data it sees
Do you need an account
No: the server works without sign-in
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.
Server tool list (6)
Raw names from tools/list. Only developers need these.
| get_mental_health_benchmark | CDC 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. |
| get_sector_snapshot | Sector-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. |
| get_basic_alert_guidance | Default 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. |
| get_institution_snapshot | Institution snapshot over a lookback window. Inputs: institution_id (number), window_days (default 30). Outputs: total_responses, avg_wellness_score, last_response_at. |
| get_institution_trend_daily | Daily average wellness trend for an institution. Inputs: institution_id (number), window_days (default 90). Outputs: series of { day, avg_wellness, responses } sorted ASC. |
| get_institution_alert_check | Alert 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). |