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generate_radar_chart

Create radar charts to visualize multidimensional data, enabling comparison across four or more attributes like design, functionality, and performance for Huawei and Apple phones.

Instructions

Generate a radar chart to display multidimensional data (four dimensions or more), such as, evaluate Huawei and Apple phones in terms of five dimensions: ease of use, functionality, camera, benchmark scores, and battery life.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesData for radar chart, it should be an array of objects, each object contains a `name` field and a `value` field, such as, [{ name: 'Design', value: 70 }].
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

  • Handler function that executes generate_radar_chart by mapping to 'radar' chart type, validating input, and generating the chart URL via external API.
    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."}`, ); } }
  • Zod schema defining the input parameters for the generate_radar_chart tool, including data, style, theme, dimensions, and title.
    const schema = { data: z .array(data) .describe( "Data for radar chart, it should be an array of objects, each object contains a `name` field and a `value` field, such as, [{ name: 'Design', value: 70 }], when the data is grouped by `group`, the `group` field is required, such as, [{ name: 'Design', value: 70, group: 'Huawei' }].", ) .nonempty({ message: "Radar chart data cannot be empty." }), style: z .object({ backgroundColor: BackgroundColorSchema, palette: PaletteSchema, texture: TextureSchema, lineWidth: z .number() .optional() .describe("Line width for the lines of chart, such as 4."), }) .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 descriptors for all enabled charts including generate_radar_chart, callTool dispatches to the handler function.
    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"); }
  • Tool descriptor with name, description, and inputSchema for generate_radar_chart, used in listTools response.
    const tool = { name: "generate_radar_chart", description: "Generate a radar chart to display multidimensional data (four dimensions or more), such as, evaluate Huawei and Apple phones in terms of five dimensions: ease of use, functionality, camera, benchmark scores, and battery life.", inputSchema: zodToJsonSchema(schema), };
  • Helper function that generates the actual chart URL by sending the chart type ('radar') and options to the visualization server API.
    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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