MatrixCalculator.net

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

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品質與安全性

A
說明品質
95%
結構描述完整度
100%
命名品質
80%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

發現項目(1)

  • LOWTool 'matrix_subtract' description lacks action verb在 matrix_subtract 中

根據工具定義與協定合規性的自動化分析。

上下文成本

~1,103Token(工具定義)
~1016 B典型回應大小
中等的注意力影響(128k 上下文的 0.86%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "matrixcalculator-mcp": {
      "url": "https://mcp.matrixcalculator.net/mcp"
    }
  }
}

遠端端點

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

它能做什麼

工具清單

工具(6)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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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已驗證未記錄版本6 個工具