Midgard Finance drug data

Obesity and incretin drug trials: weight loss by dose with its estimand, adverse events, catalysts

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Calidad y seguridad

A
Calidad de la descripción
96%
Integridad del esquema
68%
Calidad de los nombres
97%
Riesgo de envenenamiento
100%
Coincidencia de permisos
100%
Cumplimiento del protocolo
100%

Hallazgos (1)

  • LOWTool 'get_trial' description lacks action verben get_trial

Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.

Costo de contexto

~1,261Tokens (definiciones de herramientas)
~903 BTamaño de respuesta típico
Impacto moderado en la atención (0.99% del contexto de 128k)

Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.

Instalar

Instalación con un clic

Agrega esto a tu archivo `claude_desktop_config.json`:

{
  "mcpServers": {
    "drugs": {
      "url": "https://mcp.midgardfinance.com/mcp"
    }
  }
}

Puntos de conexión remotos

https://mcp.midgardfinance.com/mcpstreamable-http

Qué puede hacer

Inventario de herramientas

Herramientas (7)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢search_drugs(query, area, sponsor, status, limit)

Search the drug boards by free text and by field.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "query": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Query"
    },
    "area": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Area"
    },
    "sponsor": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Sponsor"
    },
    "status": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Status"
    },
    "limit": {
      "default": 10,
      "title": "Limit",
      "type": "integer"
    }
  },
  "title": "search_drugsArguments"
}
🟢get_drug(name)

Full record for one drug, with its efficacy figures estimand-tagged and its page URL. Matching goes slug, then exact name or brand, then substring, so "wegovy", "Wegovy HD" and "semaglutide-obesity" all land somewhere sensible without the caller knowing the slug scheme.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "name": {
      "title": "Name",
      "type": "string"
    }
  },
  "required": [
    "name"
  ],
  "title": "get_drugArguments"
}
🟢get_trial(identifier)

One trial's design, by NCT number or by trial key (SURMOUNT-1, scale, redefine-1).

Esquema de entrada

{
  "type": "object",
  "properties": {
    "identifier": {
      "title": "Identifier",
      "type": "string"
    }
  },
  "required": [
    "identifier"
  ],
  "title": "get_trialArguments"
}
🟢compare_efficacy(drugs, timepoint_weeks, estimand, metric, limit)

The extracted weight-loss table for the named drugs, joined to trial design, one row per arm and timepoint. Rows are NOT collapsed to one number per drug. The corpus holds several doses, timepoints and estimands per trial, and picking a single winner per drug would mean choosing between them here, silently and on the caller's behalf. The comparison is theirs to make; this returns the rows and the labels needed to make it correctly.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "drugs": {
      "items": {
        "type": "string"
      },
      "title": "Drugs",
      "type": "array"
    },
    "timepoint_weeks": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Timepoint Weeks"
    },
    "estimand": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Estimand"
    },
    "metric": {
      "default": "mean_weight_change_pct",
      "title": "Metric",
      "type": "string"
    },
    "limit": {
      "default": 10,
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "drugs"
  ],
  "title": "compare_efficacyArguments"
}
🟢get_adverse_events(drug, trial, ae_type, limit)

Extracted adverse-event rates for a named drug or trial, by arm, with the arithmetic that was checked. `verification` is carried through verbatim. It is the raw-count recomputation recorded when the row was extracted ("997/2481 active = 40.18%"), and it is what lets a caller see that the percentage was checked against the paper rather than copied from an abstract.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "drug": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Drug"
    },
    "trial": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Trial"
    },
    "ae_type": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Ae Type"
    },
    "limit": {
      "default": 10,
      "title": "Limit",
      "type": "integer"
    }
  },
  "title": "get_adverse_eventsArguments"
}
🟢get_trajectory(drug)

The digitised weight-loss curve for a drug: week-by-week points, plus per-dose series. Returned with `endpoint_pct` and its estimand alongside the curve, because the endpoint marker and the last plotted point are different quantities and the curve alone does not say which one a reader is looking at.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "drug": {
      "title": "Drug",
      "type": "string"
    }
  },
  "required": [
    "drug"
  ],
  "title": "get_trajectoryArguments"
}
🟢list_catalysts(from_date, to_date, tier, limit)

Upcoming and recent readouts, approvals and trial starts across sponsors. Dates are ISO strings where the event has a date and a bare year where the sponsor has only guided to one, so they are compared as strings rather than parsed - "2026" sorts before "2026-07-01", which is the right answer for an event guided to a year.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "from_date": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "From Date"
    },
    "to_date": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "To Date"
    },
    "tier": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Tier"
    },
    "limit": {
      "default": 10,
      "title": "Limit",
      "type": "integer"
    }
  },
  "title": "list_catalystsArguments"
}

Comunidad

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Evidencia

Observaciones recientes

verificadoversión no registrada7 herramientas