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decisionmatrix-mcp

Deterministic multi-criteria decision analysis for AI agents — score, rank & explain options.

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Calidad y seguridad

A
Calidad de la descripción
90%
Integridad del esquema
73%
Calidad de los nombres
87%
Riesgo de envenenamiento
100%
Coincidencia de permisos
100%
Cumplimiento del protocolo
100%

Hallazgos (2)

  • LOWTool 'compare_two' description lacks action verben compare_two
  • LOWTool 'health_check' description lacks action verben health_check

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

Costo de contexto

~1,397Tokens (definiciones de herramientas)
~2.0 KBTamaño de respuesta típico
Impacto moderado en la atención (1.09% 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": {
    "decisionmatrix-mcp": {
      "command": "npx",
      "args": [
        "decisionmatrix-mcp"
      ]
    }
  }
}

Paquetes ejecutables

npmdecisionmatrix-mcp1.0.2stdio

Puntos de conexión remotos

https://decisionmatrix-mcp.pages.dev/mcpstreamable-http

Qué puede hacer

Inventario de herramientas

Herramientas (6)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟡create_decision(options, criteria, scores, method)

Rank named options against weighted criteria and return the winner, full ranking, per-criterion score breakdowns, methodology, the weights used, and a plain-language explanation. This is the main tool. Provide options, criteria [{name, weight, direction}], and a scores matrix. method defaults to weighted_sum (also: weighted_product, topsis). 100% deterministic.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "options": {
      "type": "array",
      "description": "Named alternatives. Strings [\"A\",\"B\"] or objects [{\"name\":\"A\",\"scores\":{...}}].",
      "items": {
        "type": [
          "string",
          "object"
        ]
      }
    },
    "criteria": {
      "type": "array",
      "description": "Weighted criteria. Each: {name, weight (relative, >=0), direction: 'benefit' (higher better, default) | 'cost' (lower better)}.",
      "items": {
        "type": "object",
        "properties": {
          "name": {
            "type": "string"
          },
          "weight": {
            "type": "number"
          },
          "direction": {
            "type": "string",
            "enum": [
              "benefit",
              "cost"
            ],
            "default": "benefit"
          }
        },
        "required": [
          "name",
          "weight"
        ]
      }
    },
    "scores": {
      "description": "Score matrix. Object form: {\"Option A\": {\"Criterion 1\": 8, ...}, ...}. Array form: [{\"option\":\"Option A\",\"scores\":{...}}]. Or inline scores on each option object.",
      "type": "object"
    },
    "method": {
      "type": "string",
      "enum": [
        "weighted_sum",
        "weighted_product",
        "topsis"
      ],
      "default": "weighted_sum"
    }
  },
  "required": [
    "options",
    "criteria",
    "scores"
  ]
}
🟡score_options(options, criteria, scores, method)

Score options against criteria when the score matrix is supplied separately. Returns the full normalized scored matrix (per-option, per-criterion) plus a ranking, without the narrative winner explanation. Use create_decision if you want a winner + explanation.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "options": {
      "type": "array",
      "description": "Named alternatives. Strings [\"A\",\"B\"] or objects [{\"name\":\"A\",\"scores\":{...}}].",
      "items": {
        "type": [
          "string",
          "object"
        ]
      }
    },
    "criteria": {
      "type": "array",
      "description": "Weighted criteria. Each: {name, weight (relative, >=0), direction: 'benefit' (higher better, default) | 'cost' (lower better)}.",
      "items": {
        "type": "object",
        "properties": {
          "name": {
            "type": "string"
          },
          "weight": {
            "type": "number"
          },
          "direction": {
            "type": "string",
            "enum": [
              "benefit",
              "cost"
            ],
            "default": "benefit"
          }
        },
        "required": [
          "name",
          "weight"
        ]
      }
    },
    "scores": {
      "description": "Score matrix. Object form: {\"Option A\": {\"Criterion 1\": 8, ...}, ...}. Array form: [{\"option\":\"Option A\",\"scores\":{...}}]. Or inline scores on each option object.",
      "type": "object"
    },
    "method": {
      "type": "string",
      "enum": [
        "weighted_sum",
        "weighted_product",
        "topsis"
      ],
      "default": "weighted_sum"
    }
  },
  "required": [
    "options",
    "criteria",
    "scores"
  ]
}
⚪sensitivity_analysis(options, criteria, scores, method, variation, ...)

Test how robust the winner is to changes in criteria weights. Sweeps each criterion's weight +/- 'variation' (default 0.2 = 20%) over 'steps' (default 10) increments, recomputes the ranking, and reports a robustness score, which criteria are most likely to flip the result, and the flip points.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "options": {
      "type": "array",
      "description": "Named alternatives. Strings [\"A\",\"B\"] or objects [{\"name\":\"A\",\"scores\":{...}}].",
      "items": {
        "type": [
          "string",
          "object"
        ]
      }
    },
    "criteria": {
      "type": "array",
      "description": "Weighted criteria. Each: {name, weight (relative, >=0), direction: 'benefit' (higher better, default) | 'cost' (lower better)}.",
      "items": {
        "type": "object",
        "properties": {
          "name": {
            "type": "string"
          },
          "weight": {
            "type": "number"
          },
          "direction": {
            "type": "string",
            "enum": [
              "benefit",
              "cost"
            ],
            "default": "benefit"
          }
        },
        "required": [
          "name",
          "weight"
        ]
      }
    },
    "scores": {
      "description": "Score matrix. Object form: {\"Option A\": {\"Criterion 1\": 8, ...}, ...}. Array form: [{\"option\":\"Option A\",\"scores\":{...}}]. Or inline scores on each option object.",
      "type": "object"
    },
    "method": {
      "type": "string",
      "enum": [
        "weighted_sum",
        "weighted_product",
        "topsis"
      ],
      "default": "weighted_sum"
    },
    "variation": {
      "type": "number",
      "default": 0.2,
      "description": "Fractional weight sweep, 0<v<=1. 0.2 = +/-20%."
    },
    "steps": {
      "type": "integer",
      "default": 10,
      "description": "Number of weight steps per criterion (2-100)."
    }
  },
  "required": [
    "options",
    "criteria",
    "scores"
  ]
}
⚪compare_two(option_a, option_b, options, criteria, scores, ...)

Direct head-to-head comparison of exactly two options. Returns the winner, the score margin, how many criteria each option wins, and a per-criterion breakdown of who each criterion favours. Pass option_a and option_b (names) or a 2-element options array, plus criteria and scores.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "option_a": {
      "type": "string"
    },
    "option_b": {
      "type": "string"
    },
    "options": {
      "type": "array",
      "description": "Named alternatives. Strings [\"A\",\"B\"] or objects [{\"name\":\"A\",\"scores\":{...}}].",
      "items": {
        "type": [
          "string",
          "object"
        ]
      }
    },
    "criteria": {
      "type": "array",
      "description": "Weighted criteria. Each: {name, weight (relative, >=0), direction: 'benefit' (higher better, default) | 'cost' (lower better)}.",
      "items": {
        "type": "object",
        "properties": {
          "name": {
            "type": "string"
          },
          "weight": {
            "type": "number"
          },
          "direction": {
            "type": "string",
            "enum": [
              "benefit",
              "cost"
            ],
            "default": "benefit"
          }
        },
        "required": [
          "name",
          "weight"
        ]
      }
    },
    "scores": {
      "description": "Score matrix. Object form: {\"Option A\": {\"Criterion 1\": 8, ...}, ...}. Array form: [{\"option\":\"Option A\",\"scores\":{...}}]. Or inline scores on each option object.",
      "type": "object"
    },
    "method": {
      "type": "string",
      "enum": [
        "weighted_sum",
        "weighted_product",
        "topsis"
      ],
      "default": "weighted_sum"
    }
  },
  "required": [
    "criteria",
    "scores"
  ]
}
🟢list_methods

List the available scoring methods (weighted_sum, weighted_product, topsis) with descriptions, normalization details, score ranges, and when to use each. No parameters.

Esquema de entrada

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

Server health, version, and capabilities. No parameters.

Esquema de entrada

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

Comunidad

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Evidencia

Observaciones recientes

verificadoversión no registrada6 herramientas
verificadoversión no registrada6 herramientas