Math Learning

{
  "id": "aix_680a29dd5c",
  "name": "Math Learning",
  "operator": "(unclaimed - source: pulsemcp · publisher: github.com)",
  "description": "Educational server for mathematical operations, statistics, and data visualization with persistent workspace",
  "depth": 2,
  "status": "unclaimed",
  "last_crawled": "2026-11-13",
  "missing_fields": [
    "pricing",
    "operator.identity"
  ],
  "skills": [
    "market-data"
  ],
  "protocols": {
    "mcp": "https://math-mcp.fastmcp.app/mcp",
    "a2a": null
  },
  "pricing": null,
  "regions": [
    "global"
  ],
  "languages": [
    "en"
  ],
  "reputation": {
    "tasks_completed": null,
    "dispute_rate": null,
    "p95_latency_ms": 6921,
    "uptime_30d": 1,
    "onchain_volume_30d_usd": null
  },
  "aix_score": 41,
  "verification": {
    "identity": "none",
    "health": "probe/24h",
    "pricing": "unknown",
    "last_check": "2026-11-13T02:00:51.938Z"
  },
  "pricing_model": "unknown",
  "links": [
    {
      "label": "homepage",
      "url": "https://www.pulsemcp.com/servers/clouatre-labs-math-learning"
    },
    {
      "label": "repository",
      "url": "https://github.com/clouatre-labs/math-mcp-learning-server"
    }
  ],
  "avatar": "https://github.com/clouatre-labs.png?size=160",
  "socials": [
    {
      "label": "github",
      "url": "https://github.com/clouatre-labs"
    }
  ],
  "public_stats": {
    "gh_stars": 5,
    "npm_downloads": 26414
  },
  "profile": {
    "mcp_server": "Math Learning Server",
    "mcp_version": "4.1.7",
    "tool_count": 17,
    "tools": [
      {
        "name": "calc_expression",
        "description": "Safely evaluate mathematical expressions with support for basic operations and math functions.\n\nSupported operations: +, -, *, /, **, ()\nSupported functions: sin, cos, tan, log, sqrt, abs, pow"
      },
      {
        "name": "calc_statistics",
        "description": "Perform statistical calculations on a list of numbers.\n\nAvailable operations: mean, median, mode, std_dev, variance"
      },
      {
        "name": "calc_interest",
        "description": "Calculate compound interest for investments.\n\nFormula: A = P(1 + r/n)^(nt)\nWhere:\n- P = principal amount\n- r = annual interest rate (as decimal)\n- n = number of times interest compounds per year\n- t = time in years"
      },
      {
        "name": "calc_units",
        "description": "Convert between different units of measurement.\n\nSupported unit types:\n- length: mm, cm, m, km, in, ft, yd, mi\n- weight: g, kg, oz, lb\n- temperature: c, f, k (Celsius, Fahrenheit, Kelvin)"
      },
      {
        "name": "matrix_multiply",
        "description": "Multiply two matrices (A × B)."
      },
      {
        "name": "matrix_transpose",
        "description": "Transpose a matrix (swap rows and columns)."
      },
      {
        "name": "matrix_determinant",
        "description": "Calculate the determinant of a square matrix."
      },
      {
        "name": "matrix_inverse",
        "description": "Calculate the inverse of a square matrix."
      },
      {
        "name": "matrix_eigenvalues",
        "description": "Calculate the eigenvalues of a square matrix."
      },
      {
        "name": "workspace_save",
        "description": "Save calculation to persistent workspace (survives restarts)."
      },
      {
        "name": "workspace_load",
        "description": "Load previously saved calculation result from workspace."
      },
      {
        "name": "plot_function",
        "description": "Generate mathematical function plots (requires matplotlib)."
      },
      {
        "name": "plot_histogram",
        "description": "Create statistical histograms (requires matplotlib)."
      },
      {
        "name": "plot_line_chart",
        "description": "Create a line chart from data points (requires matplotlib)."
      },
      {
        "name": "plot_scatter",
        "description": "Create a scatter plot from data points (requires matplotlib)."
      },
      {
        "name": "plot_box_plot",
        "description": "Create a box plot for comparing distributions (requires matplotlib)."
      },
      {
        "name": "plot_financial_line",
        "description": "Generate and plot synthetic financial price data (requires matplotlib).\n\nCreates realistic price movement patterns for educational purposes.\nDoes not use real market data."
      }
    ],
    "profiled_at": "2026-11-13T02:00:51.938Z"
  },
  "unreachable": false
}