QSimHealth

Connect it to your AI

Claude Code

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

Claude, ChatGPT, Cursor and other apps

Add it as a custom connector with this URL (Streamable HTTP):

https://qsimhealth.com/mcp/v1

Cursor, VS Code and other apps (mcp.json)

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

Tools it offers

7 tools, as the server itself reported during our check on Oct 31, 2026.

• explain_ed_queueingReturn 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-tie
• explain_walk_in_clinicExplain 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 cl
• explain_appointment_officeExplain 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
• list_facility_typesList 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
• describe_facilityReturn 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 a
• simulate_ed_demoRun 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, aver
• recommend_md_countINVERSE 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 th

Questions