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generate_violin_chart

Create violin charts to visualize and compare data distributions across categories, with customizable styles, themes, and dimensions, ensuring clear statistical summaries.

Instructions

Generate a violin chart to show data for statistical summaries among different categories, such as, comparing the distribution of data points across categories.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
axisXTitleNoSet the x-axis title of chart.
axisYTitleNoSet the y-axis title of chart.
dataYesData for violin chart, such as, [{ category: '分类一', value: 10 }] or [{ category: '分类二', value: 20, group: '组别一' }].
heightNoSet the height of chart, default is 400.
styleNoCustom style configuration for the chart.
themeNoSet the theme for the chart, optional, default is 'default'.default
titleNoSet the title of chart.
widthNoSet the width of chart, default is 600.

Implementation Reference

  • Defines the Zod input schema, tool metadata (name, description), and inputSchema for the 'generate_violin_chart' tool.
    import { z } from "zod"; import { zodToJsonSchema } from "../utils"; import { AxisXTitleSchema, AxisYTitleSchema, BackgroundColorSchema, HeightSchema, PaletteSchema, TextureSchema, ThemeSchema, TitleSchema, WidthSchema, } from "./base"; const data = z.object({ category: z .string() .describe("Category of the data point, such as '分类一'."), value: z.number().describe("Value of the data point, such as 10."), group: z .string() .optional() .describe( "Optional group for the data point, used for grouping in the violin chart.", ), }); const schema = { data: z .array(data) .describe( "Data for violin chart, such as, [{ category: 'Category A', value: 10 }], when the data is grouped, the 'group' field is required, such as, [{ category: 'Category B', value: 20, group: 'Group A' }].", ) .nonempty({ message: "Violin chart data cannot be empty." }), style: z .object({ backgroundColor: BackgroundColorSchema, palette: PaletteSchema, texture: TextureSchema, }) .optional() .describe( "Style configuration for the chart with a JSON object, optional.", ), theme: ThemeSchema, width: WidthSchema, height: HeightSchema, title: TitleSchema, axisXTitle: AxisXTitleSchema, axisYTitle: AxisYTitleSchema, }; const tool = { name: "generate_violin_chart", description: "Generate a violin chart to show data for statistical summaries among different categories, such as, comparing the distribution of data points across categories.", inputSchema: zodToJsonSchema(schema), }; export const violin = { schema, tool, };
  • src/server.ts:64-77 (registration)
    Registers the tool list handler (including 'generate_violin_chart' via Charts.violin.tool) and the call tool handler that invokes callTool for execution.
    function setupToolHandlers(server: Server): void { logger.info("setting up tool handlers..."); server.setRequestHandler(ListToolsRequestSchema, async () => ({ tools: getEnabledTools().map((chart) => chart.tool), })); // biome-ignore lint/suspicious/noExplicitAny: <explanation> server.setRequestHandler(CallToolRequestSchema, async (request: any) => { logger.info("calling tool", request.params.name, request.params.arguments); return await callTool(request.params.name, request.params.arguments); }); logger.info("tool handlers set up"); }
  • The callTool function serves as the handler for all chart generation tools, including 'generate_violin_chart'. It maps the tool name to 'violin', validates input, and calls generateChartUrl to produce the chart URL.
    const CHART_TYPE_MAP = { generate_area_chart: "area", generate_bar_chart: "bar", generate_boxplot_chart: "boxplot", generate_column_chart: "column", generate_district_map: "district-map", generate_dual_axes_chart: "dual-axes", generate_fishbone_diagram: "fishbone-diagram", generate_flow_diagram: "flow-diagram", generate_funnel_chart: "funnel", generate_histogram_chart: "histogram", generate_line_chart: "line", generate_liquid_chart: "liquid", generate_mind_map: "mind-map", generate_network_graph: "network-graph", generate_organization_chart: "organization-chart", generate_path_map: "path-map", generate_pie_chart: "pie", generate_pin_map: "pin-map", generate_radar_chart: "radar", generate_sankey_chart: "sankey", generate_scatter_chart: "scatter", generate_treemap_chart: "treemap", generate_venn_chart: "venn", generate_violin_chart: "violin", generate_word_cloud_chart: "word-cloud", } as const; /** * Call a tool to generate a chart based on the provided name and arguments. * @param tool The name of the tool to call, e.g., "generate_area_chart". * @param args The arguments for the tool, which should match the expected schema for the chart type. * @returns */ export async function callTool(tool: string, args: object = {}) { logger.info(`Calling tool: ${tool}`); const chartType = CHART_TYPE_MAP[tool as keyof typeof CHART_TYPE_MAP]; if (!chartType) { logger.error(`Unknown tool: ${tool}`); throw new McpError(ErrorCode.MethodNotFound, `Unknown tool: ${tool}.`); } try { // Validate input using Zod before sending to API. // Select the appropriate schema based on the chart type. const schema = Charts[chartType].schema; if (schema) { // Use safeParse instead of parse and try-catch. const result = z.object(schema).safeParse(args); if (!result.success) { logger.error(`Invalid parameters: ${result.error.message}`); throw new McpError( ErrorCode.InvalidParams, `Invalid parameters: ${result.error.message}`, ); } } const isMapChartTool = [ "generate_district_map", "generate_path_map", "generate_pin_map", ].includes(tool); if (isMapChartTool) { // For map charts, we use the generateMap function, and return the mcp result. const { metadata, ...result } = await generateMap(tool, args); return result; } const url = await generateChartUrl(chartType, args); logger.info(`Generated chart URL: ${url}`); return { content: [ { type: "text", text: url, }, ], _meta: { description: "This is the chart's spec and configuration, which can be renderred to corresponding chart by AntV GPT-Vis chart components.", spec: { type: chartType, ...args }, }, }; // biome-ignore lint/suspicious/noExplicitAny: <explanation> } catch (error: any) { logger.error( `Failed to generate chart: ${error.message || "Unknown error"}.`, ); if (error instanceof McpError) throw error; if (error instanceof ValidateError) throw new McpError(ErrorCode.InvalidParams, error.message); throw new McpError( ErrorCode.InternalError, `Failed to generate chart: ${error?.message || "Unknown error."}`, ); } }
  • Helper function that sends the chart configuration (type='violin', options) to the visualization server API to generate and return the chart URL.
    export async function generateChartUrl( type: string, // biome-ignore lint/suspicious/noExplicitAny: <explanation> options: Record<string, any>, ): Promise<string> { const url = getVisRequestServer(); const response = await axios.post( url, { type, ...options, source: "mcp-server-chart", }, { headers: { "Content-Type": "application/json", }, }, ); const { success, errorMessage, resultObj } = response.data; if (!success) { throw new Error(errorMessage); } return resultObj; }

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