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VisActor
by VisActor

generate_hierarchical_chart

Create hierarchical charts to visualize multi-level categorical data proportions using sunburst, treemap, or circle packing layouts.

Instructions

Generate a chart for hierarchical visualization of multi-level categorical data proportions, include sunburst, treemap, circle_packing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
outputNoChart output type. Defaults to 'image'.image
chartTypeYesChart type
widthNoChart width. Optional, defaults to 500.
heightNoChart height. Optional, defaults to 500.
dataTableYesHierarchical data for the chart, e.g., [{ category: 'Category 0', subCategory: 'Category 01', value: 10}].
colorFieldYes
valueFieldYesMeasure field. Must be numeric and exist in the data.
chartThemeNoChart theme. Optional, defaults to 'light'.
titleNoChart title text.
subTitleNoChart subtitle text.
titleOrientNoTitle position in the chart.
backgroundNoChart background color (hex). Optional, defaults to white.
colorsNoColor palette for chart elements.

Implementation Reference

  • MCP CallToolRequest handler that executes all chart generation tools. For 'generate_hierarchical_chart', it resolves to the 'sunburst' chart type, validates arguments using the tool's Zod schema, calls generateChartByType('sunburst', args), and returns the result (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.'}` ); } });
  • Zod input schema for the generate_hierarchical_chart tool, defining parameters like chartType (sunburst/treemap/circle_packing), dataTable, fields, styling options, etc. Used for validation in the handler.
    const schema = z.object({ output: ChartOutputSchema, chartType: z .enum(["sunburst", "treemap", "circle_packing"]) .describe("Chart type"), width: WidthSchema, height: HeightSchema, dataTable: z .array(z.any()) .describe( "Hierarchical data for the chart, e.g., [{ category: 'Category 0', subCategory: 'Category 01', value: 10}]." ) .nonempty({ message: "Data cannot be empty." }), colorField: z.array(XFieldSchema).nonempty(), valueField: YFieldSchema, chartTheme: ThemeSchema, title: TitleTextSchema, subTitle: TitleSubTextSchema, titleOrient: TitleOrientSchema, background: BackgroundSchema, colors: ColorsSchema, });
  • src/server.ts:34-38 (registration)
    MCP ListToolsRequest handler that registers all chart tools by collecting .tool objects from imported Charts modules (including sunburst.tool for generate_hierarchical_chart).
    server.setRequestHandler(ListToolsRequestSchema, async () => { return { tools: Object.values(Charts).map(chart => (chart as any).tool), }; });
  • Helper function invoked by the tool handler to generate the VChart spec using @visactor/generate-vchart for the given chartType ('sunburst' etc. for hierarchical charts) and options, then renders to image or HTML via external server.
    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`, }); }
  • Tool registration object defining name, description, and JSON schema (converted from Zod), exported as part of sunburst.tool for use in MCP server tool listing and lookup.
    const tool = { name: "generate_hierarchical_chart", description: "Generate a chart for hierarchical visualization of multi-level categorical data proportions, include sunburst, treemap, circle_packing.", inputSchema: convertZodToJsonSchema(schema), };

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