MCP server

QSimHealth Official

com.qsimhealth/public

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Healthcare staffing simulator — ED, walk-in clinic, and appointment office DES tools.

Source

At a glance

Type

MCP server

Publisher

qsimhealth.com (verified by the MCP Registry)

Status

Working at last check

Tools

7

Token cost

About 1,821 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http public https://qsimhealth.com/mcp/v1

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.public]
url = "https://qsimhealth.com/mcp/v1"

Gemini CLI

{"mcpServers":{"public":{"httpUrl":"https://qsimhealth.com/mcp/v1"}}}

Cursor

{"mcpServers":{"public":{"url":"https://qsimhealth.com/mcp/v1"}}}

VS Code

{"servers":{"public":{"type":"http","url":"https://qsimhealth.com/mcp/v1"}}}

Antigravity

agy mcp add public https://qsimhealth.com/mcp/v1

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"public","server_url":"https://qsimhealth.com/mcp/v1","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"public","server_url":"https://qsimhealth.com/mcp/v1"}

Tools

• describe_facility ~173 tokens
  Return detailed info on one facility type: typical arrival pattern, MD/PA mix, common pain points, what a sim with simulate_ed_demo would teach you about it, and what a CUSTOM facility model from ChiAha would add (your actual data, real schedules, abandonment curves). Use before simulate_ed_demo to
• explain_appointment_office ~107 tokens
  Explain appointment-based scheduling dynamics — no-show rates as the dominant variance, buffer time as the trade-off lever, double-booking strategy, treatment-time variance by visit type. Use for primary care, specialty clinics, dental, or any scheduled-arrival setting.
• explain_ed_queueing ~127 tokens
  Return a textbook-level explanation of Emergency Department queueing dynamics — what plain M/M/c can't model (triage breaks FIFO, patients leave LWBS, peaks dominate), and what real ED staffing decisions need (acuity-tiered metrics, abandonment curves, hourly schedules). Use this when the user asks
• explain_walk_in_clinic ~104 tokens
  Explain how walk-in clinics differ from EDs structurally — terminating systems, MD/PA mix as the primary lever, short patient patience, peak-hour coverage instead of 24-hour load. Use when the user describes a walk-in clinic, urgent care, or retail health setting.
• list_facility_types ~98 tokens
  List the four healthcare facility archetypes QSimHealth speaks to: ED, urgent care, walk-in clinic, appointment office. Returns one-line descriptions. Call describe_facility for detail on one type, or simulate_ed_demo to run a generic simulation.
• recommend_md_count ~584 tokens
  INVERSE of simulate_ed_demo — given an arrival rate and a target average wait, returns the smallest MD count meeting the target. Use when the user asks 'how many MDs do I need to keep wait under N minutes?' or 'what's the minimum staffing that hits a service-level target?'. Linear scan from 1 to max
• simulate_ed_demo ~628 tokens
  Run a 7-day MD-only demo simulation of an ED, urgent care, walk-in clinic, or appointment-office staffing scenario. Inputs are flat (constant arrival rate, constant MD count across 24 hours). Returns hourly metrics, average wait, total served, utilization. This is a single-provider-type TEACHING dem

Browse

• Claude tools
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• Government and public data

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