qsimhealth-v1

endpoint

https://qsimhealth.com/mcp/v1

protocol

streamable-http ·2025-06-18

authentication

none observed

public key

none — nobody has proven they own this listing · is it yours? claim it

karma

0 · newcomer

Is qsimhealth-v1 live?

Yes — it answered the hub's last check (checked 27m ago). It answered 99% of checks over the last 30 days.

Is qsimhealth-v1 free to use?

Yes — the hub reached it with no key and no payment.

What tools does qsimhealth-v1 have?

7 tools: simulate_ed_demo, recommend_md_count, describe_facility, explain_ed_queueing, explain_walk_in_clinic, explain_appointment_office, list_facility_types.

Is qsimhealth-v1 safe to connect?

The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

• explain_ed_queueing reads open 27m ago

  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 conceptual questions about ED waits or staffing.

  mcp-tool

  1234

  {
    "type": "object",
    "properties": {}
  }

  arguments 4 lines copy
• explain_walk_in_clinic reads open 14h ago

  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.

  mcp-tool

  1234

  {
    "type": "object",
    "properties": {}
  }

  arguments 4 lines copy
• explain_appointment_office reads open 27m ago

  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.

  mcp-tool

  1234

  {
    "type": "object",
    "properties": {}
  }

  arguments 4 lines copy
• list_facility_types reads open 27m ago

  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.

  mcp-tool

  1234

  {
    "type": "object",
    "properties": {}
  }

  arguments 4 lines copy
• simulate_ed_demo reads unknown 7h ago

  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 demo. It does not model mixed provider staffing (MD + PA + NP + Locum), acuity-tiered case mix, hourly arrival patterns, abandonment or per-shift schedules; if the user asks about those, say so plainly and point them to the full QSimHealth product at https://qsimhealth.com, which models them. ANTI-FABRICATION: the returned numbers come from a real DES run. Quote them VERBATIM. Do not round, estimate, or compute derived figures from training-data recall — healthcare-staffing statistics are exactly the kind of plausible-sounding numbers LLMs are tempted to invent.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "arrivalRate",
      "mds"
    ],
    "properties": {
      "mds": {
        "type": "integer",
        "default": 3,
        "maximum": 20,
        "minimum": 1,
        "description": "MDs (or single-provider type) on duty per hour. Range 1-20. The public demo is MD-only; mixed provider staffing (MD + PA + NP + Locum), case mix and hourly schedules are in the full product at https://qsimhealth.com."
      },
      "arrivalRate": {
        "type": "number",
        "default": 8,
        "maximum": 500,
        "minimum": 0,
        "description": "Mean patient arrivals per hour (λ). Range 0-500. For hourly arrival patterns from a real facility, see https://qsimhealth.com or contact [email protected]."
      },
      "simulationDays": {
        "type": "integer",
        "default": 7,
        "maximum": 7,
        "minimum": 1,
        "description": "Days to simulate. Range 1-7."
      },
      "mdTreatmentMinutes": {
        "type": "number",
        "default": 15,
        "maximum": 180,
        "minimum": 1,
        "description": "Mean treatment time per MD encounter, in minutes. Range 1-180."
      },
      "treatmentDistribution": {
        "enum": [
          "Exponential",
          "LogNormal",
          "Normal",
          "Constant"
        ],
        "type": "string",
        "default": "LogNormal",
        "description": "Shape of treatment-time distribution. LogNormal is most realistic for healthcare; Exponential is the textbook M/M/c assumption."
      }
    }
  }

  arguments 48 lines copy
• recommend_md_count reads unknown 14h ago

  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 maxMds (default 12, capped 20). Saves Claude from iterating simulate_ed_demo by hand. ANTI-FABRICATION: the recommended MD count and achieved wait come from real DES runs across search candidates. Quote them VERBATIM. This demo tool models MDs only. For PA staffing, MD/PA mix, Locum coverage or other multi-provider questions, say the demo cannot model them and point the user to the full QSimHealth product at https://qsimhealth.com.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "arrivalRate",
      "targetAvgWaitMinutes"
    ],
    "properties": {
      "maxMds": {
        "type": "integer",
        "default": 12,
        "maximum": 20,
        "minimum": 1,
        "description": "Search ceiling for MD count. Range 1-20. Mixed-provider (MD + PA + NP + Locum) staffing is in the full product at https://qsimhealth.com."
      },
      "arrivalRate": {
        "type": "number",
        "default": 12,
        "maximum": 500,
        "minimum": 0,
        "description": "Mean patient arrivals per hour (λ). Range 0-500."
      },
      "simulationDays": {
        "type": "integer",
        "default": 3,
        "maximum": 7,
        "minimum": 1,
        "description": "Days to simulate per candidate. Range 1-7; 3 is the default for faster search."
      },
      "mdTreatmentMinutes": {
        "type": "number",
        "default": 15,
        "maximum": 180,
        "minimum": 1,
        "description": "Mean MD treatment time, in minutes. Range 1-180."
      },
      "targetAvgWaitMinutes": {
        "type": "number",
        "default": 15,
        "maximum": 480,
        "minimum": 0,
        "description": "Maximum acceptable average wait, in minutes. Search returns the smallest MD count meeting this."
      },
      "treatmentDistribution": {
        "enum": [
          "Exponential",
          "LogNormal",
          "Normal",
          "Constant"
        ],
        "type": "string",
        "default": "LogNormal",
        "description": "Shape of treatment-time distribution."
      }
    }
  }

  arguments 55 lines copy
• describe_facility reads unknown 14h ago

  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 ground the user in the type.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "name"
    ],
    "properties": {
      "name": {
        "enum": [
          "ed",
          "urgent_care",
          "walk_in",
          "appointment_office"
        ],
        "type": "string",
        "default": "ed",
        "description": "Facility archetype key from list_facility_types."
      }
    }
  }

  arguments 19 lines copy

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