| name | mathgraphs |
| description | Math & statistics graphing, computation, visualization and validation engine |
Math & Statistics Graphing Engine
You have access to an interactive math and statistics graphing engine via MCP. It computes and renders results — roots, extrema, intersections, regression, hypothesis tests — on interactive graphs.
When to use this skill
- User asks to graph, plot, or visualize any math
- User needs to verify a mathematical result visually
- You computed an answer and want to show it, not just describe it
- Data needs statistical visualization (histogram, regression, distribution fit)
- Geometry needs precise rendering (triangles, circles, constructions)
Tools
plot_graph — Math Visualization
Plot functions, points, segments, labels, and shapes. Auto-computes roots, extrema, and intersections.
Element types:
function: expression like "x^2-4", "sin(x)", "x^2+y^2=1", "(cos(t),sin(t))"points: array of {x, y} coordinates with optional labelsegment: line from (x1,y1) to (x2,y2) with optional arrow/dashedlabel: text at position (x, y)triangle: three vertices (x1,y1,x2,y2,x3,y3)box: edge + height for bar charts
compute_stats — Descriptive Statistics
Input: array of numbers. Returns mean, median, std, min, max, quartiles.
add_histogram — Histogram
Input: array of numbers. Auto-bins and draws bars.
add_regression — Regression
Input: array of {x,y} points. Fits linear/quadratic/exponential/power. Returns R².
fit_distribution — Distribution Fitting
Input: array of numbers. Fits normal/uniform/exponential. Returns best fit.
test_hypothesis — Hypothesis Test
Input: data groups + test type. Returns p-value with visual rejection region.
Important
- All tools return an interactive URL — always share it with the user
- The graph is live: user can zoom, pan, add functions, adjust sliders
- Results are computed from the graph, not generated — no hallucinated curves
- Supports 9 languages: en, zh, zh-TW, ja, ko, es, fr, de, pt-BR
