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VisActor
by VisActor

generate_range_column_chart

Create range column charts to visualize minimum and maximum values across categories, enabling comparison of value distributions in data analysis.

Instructions

Generate a range column chart to display the value range (such as minimum and maximum) for each category, suitable for comparing the range distribution across different categories.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
outputNoChart output type. Defaults to 'image'.image
widthNoChart width. Optional, defaults to 500.
heightNoChart height. Optional, defaults to 500.
dataTableYesData for the range column chart, e.g., [{ category: 'Category 01', min: 10, max: 50 }].
xFieldYesDimension field. Must exist in the data.
yFieldYes
colorFieldNoColor grouping field. Should not duplicate the dimension field.
chartThemeNoChart theme. Optional, defaults to 'light'.
titleNoChart title text.
subTitleNoChart subtitle text.
titleOrientNoTitle position in the chart.
xAxisTypeNoX-axis type: categorical ('band') or continuous ('linear').
xAxisOrientNoX-axis position in the chart.
xAxisTitleNoX-axis title.
xAxisHasGridNoShow vertical grid lines for the X-axis.
xAxisHasLabelNoShow X-axis labels.
xAxisHasTickNoShow X-axis ticks.
yAxisTypeNoY-axis type: categorical ('band') or continuous ('linear').
yAxisOrientNoY-axis position in the chart.
yAxisTitleNoY-axis title.
yAxisHasGridNoShow horizontal grid lines for the Y-axis.
yAxisHasLabelNoShow Y-axis labels.
yAxisHasTickNoShow Y-axis ticks.
backgroundNoChart background color (hex). Optional, defaults to white.
colorsNoColor palette for chart elements.

Implementation Reference

  • The MCP CallToolRequest handler that executes the tool. It maps the tool name to the chart type ('range_column'), validates inputs using the tool's schema, calls generateChartByType, and returns the chart output (spec, image URL, or HTML).
    server.setRequestHandler(CallToolRequestSchema, async request => { const toolName = request.params.name; const chartType = Object.keys(Charts).find( key => (Charts as any)[key].tool.name === toolName ); if (!chartType) { throw new McpError( ErrorCode.MethodNotFound, `Unknown tool: ${request.params.name}.` ); } try { // Validate input using Zod before generating chart const args = request.params.arguments || {}; // Select the appropriate schema based on the chart type const schema = Charts[chartType as keyof typeof Charts].schema; if (schema) { const result = schema.safeParse(args); if (!result.success) { throw new McpError( ErrorCode.InvalidParams, `Invalid parameters: ${result.error.message}` ); } } const res = await generateChartByType(chartType, args); if (res && (res as any).spec) { return { content: [ { type: 'text', text: JSON.stringify((res as any).spec, null, 2), }, ], }; } if (res && (res as any).image) { return { content: [ { type: 'text', text: (res as any).image, }, ], }; } if (res && (res as any).html) { return { content: [ { type: 'text', text: (res as any).html, }, ], }; } return { content: [ { type: 'text', text: 'Failed to generate chart', }, ], }; } catch (error: any) { if (error instanceof McpError) { throw error; } throw new McpError( ErrorCode.InternalError, `Failed to generate chart: ${error?.message || 'Unknown error.'}` ); } });
  • Input schema (Zod) specific to range column chart, requiring dataTable and two yFields (e.g., min/max).
    const schema = z.object({ output: ChartOutputSchema, width: WidthSchema, height: HeightSchema, dataTable: z .array(z.any()) .describe( "Data for the range column chart, e.g., [{ category: 'Category 01', min: 10, max: 50 }]." ) .nonempty({ message: "Range column chart data must not be empty." }), xField: XFieldSchema, yField: z.array(YFieldSchema).length(2), colorField: ColorFieldSchema, chartTheme: ThemeSchema, title: TitleTextSchema, subTitle: TitleSubTextSchema, titleOrient: TitleOrientSchema, xAxisType: XAxisTypeSchema, xAxisOrient: XAxisOrientSchema, xAxisTitle: XAxisTitleSchema, xAxisHasGrid: XAxisHasGridSchema, xAxisHasLabel: XAxisHasLabelSchema, xAxisHasTick: XAxisHasTickSchema, yAxisType: YAxisTypeSchema, yAxisOrient: YAxisOrientSchema, yAxisTitle: YAxisTitleSchema, yAxisHasGrid: YAxisHasGridSchema, yAxisHasLabel: YAxisHasLabelSchema, yAxisHasTick: YAxisHasTickSchema, background: BackgroundSchema, colors: ColorsSchema, });
  • src/server.ts:34-38 (registration)
    Registers all chart tools (including generate_range_column_chart) for the MCP listTools request.
    server.setRequestHandler(ListToolsRequestSchema, async () => { return { tools: Object.values(Charts).map(chart => (chart as any).tool), }; });
  • Tool metadata definition with name, description, and schema conversion for MCP registration.
    const tool = { name: "generate_range_column_chart", description: "Generate a range column chart to display the value range (such as minimum and maximum) for each category, suitable for comparing the range distribution across different categories.", inputSchema: convertZodToJsonSchema(schema), };
  • Helper function that generates the chart spec for type 'range_column' using @visactor/generate-vchart and renders the output based on 'output' field.
    export async function generateChartByType(chartType: string, options: any) { const { title, subTitle, titleOrient, xAxisType, xAxisOrient, xAxisTitle, xAxisHasGrid, xAxisHasLabel, xAxisHasTick, yAxisType, yAxisOrient, yAxisTitle, yAxisHasGrid, yAxisHasLabel, yAxisHasTick, leftYAxisTitle, leftYAxisHasGrid, leftYAxisHasLabel, leftYAxisHasTick, rightYAxisTitle, rightYAxisHasGrid, rightYAxisHasLabel, rightYAxisHasTick, angleAxisTitle, angleAxisHasGrid, angleAxisHasLabel, angleAxisHasTick, angleAxisType, radiusAxisHasGrid, radiusAxisHasLabel, radiusAxisHasTick, radiusAxisType, radiusAxisTitle, output, width, height, ...res } = options; const opts = { ...res }; const titleObj = filterValidAttributes({ text: title, subText: subTitle, orient: titleOrient, }); const xAxisObj = filterValidAttributes({ type: xAxisType, orient: xAxisOrient, title: xAxisTitle, hasGrid: xAxisHasGrid, hasLabel: xAxisHasLabel, hasTick: xAxisHasTick, }); const yAxisObj = filterValidAttributes({ type: yAxisType, orient: yAxisOrient, title: yAxisTitle, hasGrid: yAxisHasGrid, hasLabel: yAxisHasLabel, hasTick: yAxisHasTick, }); const leftYAxisObj = filterValidAttributes({ title: leftYAxisTitle, hasGrid: leftYAxisHasGrid, hasLabel: leftYAxisHasLabel, hasTick: leftYAxisHasTick, }); const rightYAxisObj = filterValidAttributes({ title: rightYAxisTitle, hasGrid: rightYAxisHasGrid, hasLabel: rightYAxisHasLabel, hasTick: rightYAxisHasTick, }); const angleAxisObj = filterValidAttributes({ title: angleAxisTitle, hasGrid: angleAxisHasGrid, hasLabel: angleAxisHasLabel, hasTick: angleAxisHasTick, type: angleAxisType, }); const radiusAxisObj = filterValidAttributes({ hasGrid: radiusAxisHasGrid, hasLabel: radiusAxisHasLabel, hasTick: radiusAxisHasTick, type: radiusAxisType, title: radiusAxisTitle, }); const cell: Record<string, string> = {}; [ "xField", "yField", "colorField", "categoryField", "valueField", "wordField", "sizeField", "timeField", "sourceField", "targetField", "setsField", "radiusField", ].forEach((fieldName) => { if (isValid(options[fieldName])) { cell[fieldName.replace("Field", "")] = options[fieldName]; delete opts[fieldName]; } }); opts.cell = cell; if (!isEmpty(titleObj)) { opts.title = titleObj; } const axes = [ xAxisObj, yAxisObj, leftYAxisObj, rightYAxisObj, angleAxisObj, radiusAxisObj, ]; if (axes.some((axis) => !isEmpty(axis))) { opts.axes = axes.filter((axis) => !isEmpty(axis)); } const { spec } = generateChart(options.chartType ?? chartType, opts); if (!spec) { return null; } if (output === "spec") { if (isValid(width)) { spec.width = width; } if (isValid(height)) { spec.height = height; } return { spec: spec, }; } return gentrateChartImageOrHtml(output, spec, { width: `${width ?? 500}px`, height: `${height ?? 500}px`, }); }

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