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VisActor
by VisActor

generate_wordcloud_venn

Create word clouds to visualize word frequency or Venn diagrams to show set relationships and intersections from your data.

Instructions

Generate a word cloud to visualize word frequency or importance, or a Venn diagram to show relationships such as intersections and unions between sets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
outputNoChart output type. Defaults to 'image'.image
widthNoChart width. Optional, defaults to 500.
heightNoChart height. Optional, defaults to 500.
chartTypeYes
dataTableYesData for the chart, e.g., [{ word: 'TEST', value: 10 }].
colorFieldYesSpecifies the field in the dataset that represents each word (for word clouds) or the set (for Venn diagrams). For Venn diagrams, use a comma-separated string to describe the set. This field must exist in the dataset.
valueFieldYesSpecifies the field representing the metric value. Required for Venn diagrams.
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 call_tool request handler that implements execution for all chart tools by mapping the tool name to the corresponding chart module ("wordcloud_venn" for generate_wordcloud_venn), validating inputs with the schema, and calling generateChartByType.
    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 definition for the generate_wordcloud_venn tool, including parameters for data, fields, dimensions, styling, and chart type (wordcloud or venn).
    const schema = z.object({ output: ChartOutputSchema, // Output format/schema for the chart width: WidthSchema, // Chart width height: HeightSchema, // Chart height chartType: z.enum(["wordcloud", "venn"]), dataTable: z .array(z.any()) .describe("Data for the chart, e.g., [{ word: 'TEST', value: 10 }].") .nonempty({ message: "data cannot be empty." }), // Data array must not be empty colorField: z .string() .nonempty({ message: "The field for words or sets cannot be empty." }) .describe( "Specifies the field in the dataset that represents each word (for word clouds) or the set (for Venn diagrams). For Venn diagrams, use a comma-separated string to describe the set. This field must exist in the dataset." ), valueField: z .string() .describe( "Specifies the field representing the metric value. Required for Venn diagrams." ), chartTheme: ThemeSchema, // Chart theme title: TitleTextSchema, // Chart title subTitle: TitleSubTextSchema, // Chart subtitle titleOrient: TitleOrientSchema, // Title orientation background: BackgroundSchema, // Chart background colors: ColorsSchema, // Chart colors });
  • src/server.ts:34-38 (registration)
    MCP list_tools request handler that registers all chart tools, including generate_wordcloud_venn, by returning their tool definitions from the Charts modules.
    server.setRequestHandler(ListToolsRequestSchema, async () => { return { tools: Object.values(Charts).map(chart => (chart as any).tool), }; });
  • Tool metadata definition (name, description, inputSchema) and export as wordcloud_venn module for use in Charts namespace.
    const tool = { name: "generate_wordcloud_venn", description: "Generate a word cloud to visualize word frequency or importance, or a Venn diagram to show relationships such as intersections and unions between sets.", inputSchema: convertZodToJsonSchema(schema), }; export const wordcloud_venn = { schema, tool, };
  • Core chart generation utility function called by the handler, processes input options into VChart spec using generateChart from @visactor/generate-vchart library, renders to image/html/spec based on chartType (wordcloud_venn here) and handles axis, title, data field mapping.
    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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