MatrixCalculator.net

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

使うべきか

品質と安全性

A
説明の品質
95%
スキーマの完全性
100%
命名の品質
80%
ポイズニングのリスク
100%
権限の一致
100%
プロトコルへの準拠
100%

検出事項(1)

  • LOWTool 'matrix_subtract' description lacks action verbmatrix_subtract 内

ツール定義とプロトコルへの準拠に関する自動分析に基づいています。

コンテキストコスト

~1,103トークン数(ツール定義)
~1016 B一般的なレスポンスサイズ
注意への影響は中程度(128k コンテキストの 0.86%)

これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。

インストール

ワンクリックインストール

これを `claude_desktop_config.json` ファイルに追加してください:

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

リモートエンドポイント

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

できること

ツール一覧

ツール(6)

🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟢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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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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