Wellness Pulse

Wellness Pulse MCP is a plug-and-play intelligence layer that transforms raw wellbeing data into clear, actionable insights for AI systems.

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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.

How to connect

How to connect Wellness Pulse to Claude

The server address to paste into Claude settings:

https://wellnesspulse--wellnesspulse.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect Wellness Pulse to ChatGPT

The server address to paste into ChatGPT settings:

https://wellnesspulse--wellnesspulse.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect Wellness Pulse to Cursor

The server address to paste into Cursor settings:

https://wellnesspulse--wellnesspulse.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (6)

Raw names from tools/list. Only developers need these.

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.
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.
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.
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.
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.
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).