MatrixCalculator.net

Exact matrix calculations with step-by-step results for six core matrix operations.

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Calidad y seguridad

A
Calidad de la descripción
95%
Integridad del esquema
100%
Calidad de los nombres
80%
Riesgo de envenenamiento
100%
Coincidencia de permisos
100%
Cumplimiento del protocolo
100%

Hallazgos (1)

  • LOWTool 'matrix_subtract' description lacks action verben matrix_subtract

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

Costo de contexto

~1,103Tokens (definiciones de herramientas)
~1016 BTamaño de respuesta típico
Impacto moderado en la atención (0.86% 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": {
    "matrixcalculator-mcp": {
      "url": "https://mcp.matrixcalculator.net/mcp"
    }
  }
}

Puntos de conexión remotos

https://mcp.matrixcalculator.net/mcpstreamable-http

Qué puede hacer

Inventario de herramientas

Herramientas (6)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢matrix_add(matrixA, matrixB)

Add two matrices of the same dimensions entry by entry. Useful for exact matrix addition or explaining each entry step by step. Accepts integers, decimals, and fraction strings (for example 1/2); returns the exact sum matrix and a calculation for each position.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "matrixA": {
      "minItems": 1,
      "type": "array",
      "items": {
        "minItems": 1,
        "type": "array",
        "items": {
          "type": [
            "string",
            "number"
          ]
        }
      },
      "description": "First matrix."
    },
    "matrixB": {
      "minItems": 1,
      "type": "array",
      "items": {
        "minItems": 1,
        "type": "array",
        "items": {
          "type": [
            "string",
            "number"
          ]
        }
      },
      "description": "Second matrix."
    }
  },
  "required": [
    "matrixA",
    "matrixB"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢matrix_subtract(matrixA, matrixB)

Subtract matrix B from matrix A when both have the same dimensions. Useful for exact matrix subtraction, including negative values and step-by-step entry calculations. Accepts integers, decimals, and fraction strings; returns each exact difference and its calculation.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "matrixA": {
      "minItems": 1,
      "type": "array",
      "items": {
        "minItems": 1,
        "type": "array",
        "items": {
          "type": [
            "string",
            "number"
          ]
        }
      },
      "description": "Matrix to subtract from."
    },
    "matrixB": {
      "minItems": 1,
      "type": "array",
      "items": {
        "minItems": 1,
        "type": "array",
        "items": {
          "type": [
            "string",
            "number"
          ]
        }
      },
      "description": "Matrix to subtract."
    }
  },
  "required": [
    "matrixA",
    "matrixB"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢matrix_multiply(matrixA, matrixB)

Multiply A by B when A's column count equals B's row count, including non-square matrices. Useful for exact matrix multiplication and step-by-step row-by-column dot products. Returns exact results plus each factor pair, product, and entry calculation; accepts fractions and decimals.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "matrixA": {
      "minItems": 1,
      "type": "array",
      "items": {
        "minItems": 1,
        "type": "array",
        "items": {
          "type": [
            "string",
            "number"
          ]
        }
      },
      "description": "Left matrix A."
    },
    "matrixB": {
      "minItems": 1,
      "type": "array",
      "items": {
        "minItems": 1,
        "type": "array",
        "items": {
          "type": [
            "string",
            "number"
          ]
        }
      },
      "description": "Right matrix B."
    }
  },
  "required": [
    "matrixA",
    "matrixB"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢matrix_determinant(matrix)

Find the exact determinant of a square matrix using fraction-preserving elimination. Use for determinant questions requiring row swaps, elimination steps, pivot multipliers, sign changes, diagonal products, or singularity checks. Returns the determinant and detailed operation steps.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "matrix": {
      "minItems": 1,
      "type": "array",
      "items": {
        "minItems": 1,
        "type": "array",
        "items": {
          "type": [
            "string",
            "number"
          ]
        }
      },
      "description": "Square matrix."
    }
  },
  "required": [
    "matrix"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢matrix_inverse(matrix)

Find an exact inverse of a square matrix with step-by-step Gauss-Jordan elimination. Use for inverse questions needing exact fractions, augmented matrices, row swaps, normalization, elimination, and verification that A times A-inverse is identity. Returns the inverse and verification, or null with singular=true if not invertible.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "matrix": {
      "minItems": 1,
      "type": "array",
      "items": {
        "minItems": 1,
        "type": "array",
        "items": {
          "type": [
            "string",
            "number"
          ]
        }
      },
      "description": "Square matrix."
    }
  },
  "required": [
    "matrix"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢matrix_transpose(matrix)

Transpose a rectangular or square matrix by exchanging rows and columns. Useful for requests to show where each result entry originated. Preserves exact integer, decimal, and fraction inputs and returns the transposed matrix with source-to-result position mappings.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "matrix": {
      "minItems": 1,
      "type": "array",
      "items": {
        "minItems": 1,
        "type": "array",
        "items": {
          "type": [
            "string",
            "number"
          ]
        }
      },
      "description": "Matrix to transpose."
    }
  },
  "required": [
    "matrix"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

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