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generate_pie_chart

Create pie charts to visualize proportional data like market share or budget allocation. Customize charts with themes, colors, and styles to display data distributions clearly.

Instructions

Generate a pie chart to show the proportion of parts, such as, market share and budget allocation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesData for pie chart, it should be an array of objects, each object contains a `category` field and a `value` field, such as, [{ category: '分类一', value: 27 }].
innerRadiusNoSet the innerRadius of pie chart, the value between 0 and 1. Set the pie chart as a donut chart. Set the value to 0.6 or number in [0 ,1] to enable it.
styleNoStyle configuration for the chart with a JSON object, optional.
themeNoSet the theme for the chart, optional, default is 'default'.default
widthNoSet the width of chart, default is 600.
heightNoSet the height of chart, default is 400.
titleNoSet the title of chart.

Implementation Reference

  • The main handler function for all chart tools, including generate_pie_chart. Maps tool name to chartType 'pie', validates arguments using Charts.pie.schema, generates chart URL via generateChartUrl, and returns MCP content with the URL.
    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."}`, ); } }
  • Tool descriptor including name, description, inputSchema (converted from Zod schema), and annotations for generate_pie_chart.
    const tool = { name: "generate_pie_chart", description: "Generate a pie chart to show the proportion of parts, such as, market share and budget allocation.", inputSchema: zodToJsonSchema(schema), annotations: { title: "Generate Pie Chart", readOnlyHint: true, }, };
  • Zod-based input schema for generate_pie_chart tool parameters.
    const schema = { data: z .array(data) .describe( "Data for pie chart, it should be an array of objects, each object contains a `category` field and a `value` field, such as, [{ category: '分类一', value: 27 }].", ) .nonempty({ message: "Pie chart data cannot be empty." }), innerRadius: z .number() .default(0) .describe( "Set the innerRadius of pie chart, the value between 0 and 1. Set the pie chart as a donut chart. Set the value to 0.6 or number in [0 ,1] to enable it.", ), 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, };
  • src/server.ts:64-77 (registration)
    Registers the MCP tool handlers. listTools returns array of all enabled chart.tool objects (including pie.tool for generate_pie_chart). callToolRequest handler dispatches to utils/callTool based on tool name.
    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"); }
  • Helper function called by callTool to generate the chart URL by posting the chart type ('pie') and options to the visualization server.
    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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