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Fermat MCP

by abhiphile
MIT License
5

mpl_mcp_plot_scatter

Generate scatter plots to visualize relationships between numerical datasets. Customize labels, colors, markers, and layout for clear data representation using Matplotlib integration on Fermat MCP.

Instructions

Plots scatter chart of given datavalues

Input Schema

NameRequiredDescriptionDefault
alphaNo
colorNoblue
dpiNo
edgecolorsNoface
figsizeNo
gridNo
labelsNo
legendNo
linewidthsNo
markerNoo
saveNo
sizeNo
titleNo
x_dataYes
xlabelNo
y_dataYes
ylabelNo

Input Schema (JSON Schema)

{ "properties": { "alpha": { "default": 0.7, "title": "Alpha", "type": "number" }, "color": { "anyOf": [ { "type": "string" }, { "items": { "type": "string" }, "type": "array" } ], "default": "blue", "title": "Color" }, "dpi": { "default": 200, "title": "Dpi", "type": "integer" }, "edgecolors": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": "face", "title": "Edgecolors" }, "figsize": { "anyOf": [ { "items": { "type": "integer" }, "type": "array" }, { "type": "null" } ], "default": null, "title": "Figsize" }, "grid": { "default": true, "title": "Grid", "type": "boolean" }, "labels": { "anyOf": [ { "type": "string" }, { "items": { "type": "string" }, "type": "array" }, { "type": "null" } ], "default": null, "title": "Labels" }, "legend": { "default": false, "title": "Legend", "type": "boolean" }, "linewidths": { "default": 1, "title": "Linewidths", "type": "number" }, "marker": { "default": "o", "title": "Marker", "type": "string" }, "save": { "default": false, "title": "Save", "type": "boolean" }, "size": { "anyOf": [ { "type": "integer" }, { "type": "number" }, { "items": { "type": "number" }, "type": "array" } ], "default": 36, "title": "Size" }, "title": { "default": "", "title": "Title", "type": "string" }, "x_data": { "items": { "type": "number" }, "title": "X Data", "type": "array" }, "xlabel": { "default": "", "title": "Xlabel", "type": "string" }, "y_data": { "items": { "type": "number" }, "title": "Y Data", "type": "array" }, "ylabel": { "default": "", "title": "Ylabel", "type": "string" } }, "required": [ "x_data", "y_data" ], "type": "object" }

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