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MCP ECharts

by hustcc
OverviewSchemaRelated ServersScoreDiscussions
TypeScript
Hybrid

generate_parallel_chart

Visualize multi-dimensional data with a parallel coordinates chart. Compare multiple items across several numeric dimensions to identify patterns and trade-offs.

Instructions

Generate a parallel coordinates chart to display multi-dimensional data, such as, comparing different products across multiple attributes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesData for parallel chart, such as, [{ name: 'Product A', values: [4.2, 3.4, 2.3, 1.8] }].
dimensionsYesNames of the dimensions/axes, such as, ['Price', 'Quality', 'Service', 'Value'].
heightNoSet the height of the chart, default is 600px.
themeNoSet the theme for the chart, optional, default is 'default'.default
titleNoSet the title of the chart.
widthNoSet the width of the chart, default is 800px.
outputTypeNoThe output type of the diagram. Can be 'png', 'svg' or 'option'. Default is 'png', 'png' will return the rendered PNG image, 'svg' will return the rendered SVG string, and 'option' will return the valid ECharts option.png

Implementation Reference

  • src/tools/parallel.ts:41-149 (handler)
    The `run` function that executes the parallel chart tool logic. It calculates axis ranges, transforms data into ECharts parallel series, builds the full ECharts option with parallelAxis, parallel config, title, legend, tooltip, and calls generateChartImage to render.
      run: async (params: {
    data: Array<{ name: string; values: number[] }>;
    dimensions: string[];
    height: number;
    theme?: "default" | "dark";
    title?: string;
    width: number;
    outputType?: "png" | "svg" | "option";
  }) => {
    const { data, dimensions, height, theme, title, width, outputType } =
      params;

    // Calculate min/max for each dimension
    const parallelAxis = dimensions.map((dim, index) => {
      const values = data
        .map((item) => item.values[index])
        .filter((v) => v !== undefined);
      const min = Math.min(...values);
      const max = Math.max(...values);
      const range = max - min;

      return {
        dim: index,
        name: dim,
        min: min - range * 0.1,
        max: max + range * 0.1,
        nameLocation: "start" as const,
      };
    });

    // Transform data for ECharts - create separate series for each data item
    const series: Array<SeriesOption> = data.map((item) => ({
      name: item.name,
      type: "parallel",
      data: [
        {
          name: item.name,
          value: item.values,
        },
      ],
      lineStyle: {
        width: 2,
        opacity: 0.7,
      },
      emphasis: {
        lineStyle: {
          width: 4,
          opacity: 1,
        },
      },
      smooth: true,
    }));

    const echartsOption: EChartsOption = {
      parallelAxis: parallelAxis,
      parallel: {
        left: "5%",
        right: "13%",
        bottom: "20%",
        top: "15%",
        parallelAxisDefault: {
          type: "value",
          nameLocation: "end",
          nameGap: 20,
          nameTextStyle: {
            fontSize: 12,
          },
          axisLine: {
            lineStyle: {
              color: "#aaa",
            },
          },
          axisTick: {
            lineStyle: {
              color: "#777",
            },
          },
          splitLine: {
            show: false,
          },
          axisLabel: {
            color: "#999",
          },
        },
      },
      series,
      title: {
        left: "center",
        text: title,
      },
      tooltip: {
        trigger: "item",
      },
      legend: {
        bottom: 30,
        data: data.map((item) => item.name),
      },
    };

    return await generateChartImage(
      echartsOption,
      width,
      height,
      theme,
      outputType,
      "generate_parallel_chart",
    );
  },
};
  • src/tools/parallel.ts:13-40 (schema)
    The input schema defined using zod: 'data' (array of {name, values}), 'dimensions' (array of strings), plus shared schemas HeightSchema, ThemeSchema, TitleSchema, WidthSchema, OutputTypeSchema.
    const data = z.object({
  name: z.string().describe("Name or identifier for this data series."),
  values: z.array(z.number()).describe("Array of values for each dimension."),
});

export const generateParallelChartTool = {
  name: "generate_parallel_chart",
  description:
    "Generate a parallel coordinates chart to display multi-dimensional data, such as, comparing different products across multiple attributes.",
  inputSchema: z.object({
    data: z
      .array(data)
      .describe(
        "Data for parallel chart, such as, [{ name: 'Product A', values: [4.2, 3.4, 2.3, 1.8] }].",
      )
      .nonempty({ message: "Parallel chart data cannot be empty." }),
    dimensions: z
      .array(z.string())
      .describe(
        "Names of the dimensions/axes, such as, ['Price', 'Quality', 'Service', 'Value'].",
      )
      .nonempty({ message: "At least one dimension is required." }),
    height: HeightSchema,
    theme: ThemeSchema,
    title: TitleSchema,
    width: WidthSchema,
    outputType: OutputTypeSchema,
  }),
  • src/tools/parallel.ts:18-149 (registration)
    The full tool definition object (generateParallelChartTool) with name 'generate_parallel_chart', description, inputSchema, and run handler.
    export const generateParallelChartTool = {
  name: "generate_parallel_chart",
  description:
    "Generate a parallel coordinates chart to display multi-dimensional data, such as, comparing different products across multiple attributes.",
  inputSchema: z.object({
    data: z
      .array(data)
      .describe(
        "Data for parallel chart, such as, [{ name: 'Product A', values: [4.2, 3.4, 2.3, 1.8] }].",
      )
      .nonempty({ message: "Parallel chart data cannot be empty." }),
    dimensions: z
      .array(z.string())
      .describe(
        "Names of the dimensions/axes, such as, ['Price', 'Quality', 'Service', 'Value'].",
      )
      .nonempty({ message: "At least one dimension is required." }),
    height: HeightSchema,
    theme: ThemeSchema,
    title: TitleSchema,
    width: WidthSchema,
    outputType: OutputTypeSchema,
  }),
  run: async (params: {
    data: Array<{ name: string; values: number[] }>;
    dimensions: string[];
    height: number;
    theme?: "default" | "dark";
    title?: string;
    width: number;
    outputType?: "png" | "svg" | "option";
  }) => {
    const { data, dimensions, height, theme, title, width, outputType } =
      params;

    // Calculate min/max for each dimension
    const parallelAxis = dimensions.map((dim, index) => {
      const values = data
        .map((item) => item.values[index])
        .filter((v) => v !== undefined);
      const min = Math.min(...values);
      const max = Math.max(...values);
      const range = max - min;

      return {
        dim: index,
        name: dim,
        min: min - range * 0.1,
        max: max + range * 0.1,
        nameLocation: "start" as const,
      };
    });

    // Transform data for ECharts - create separate series for each data item
    const series: Array<SeriesOption> = data.map((item) => ({
      name: item.name,
      type: "parallel",
      data: [
        {
          name: item.name,
          value: item.values,
        },
      ],
      lineStyle: {
        width: 2,
        opacity: 0.7,
      },
      emphasis: {
        lineStyle: {
          width: 4,
          opacity: 1,
        },
      },
      smooth: true,
    }));

    const echartsOption: EChartsOption = {
      parallelAxis: parallelAxis,
      parallel: {
        left: "5%",
        right: "13%",
        bottom: "20%",
        top: "15%",
        parallelAxisDefault: {
          type: "value",
          nameLocation: "end",
          nameGap: 20,
          nameTextStyle: {
            fontSize: 12,
          },
          axisLine: {
            lineStyle: {
              color: "#aaa",
            },
          },
          axisTick: {
            lineStyle: {
              color: "#777",
            },
          },
          splitLine: {
            show: false,
          },
          axisLabel: {
            color: "#999",
          },
        },
      },
      series,
      title: {
        left: "center",
        text: title,
      },
      tooltip: {
        trigger: "item",
      },
      legend: {
        bottom: 30,
        data: data.map((item) => item.name),
      },
    };

    return await generateChartImage(
      echartsOption,
      width,
      height,
      theme,
      outputType,
      "generate_parallel_chart",
    );
  },
};
  • src/tools/index.ts:11-39 (registration)
    Import of generateParallelChartTool from './parallel' and inclusion in tools array (line 37) and re-export (line 59).
    import { generateParallelChartTool } from "./parallel";
import { generatePieChartTool } from "./pie";
import { generateRadarChartTool } from "./radar";
import { generateSankeyChartTool } from "./sankey";
import { generateScatterChartTool } from "./scatter";
import { generateSunburstChartTool } from "./sunburst";
import { generateTreeChartTool } from "./tree";
import { generateTreemapChartTool } from "./treemap";

export const tools = [
  generateEChartsTool,
  generateAreaChartTool,
  generateLineChartTool,
  generateBarChartTool,
  generatePieChartTool,
  generateRadarChartTool,
  generateScatterChartTool,
  generateSankeyChartTool,
  generateFunnelChartTool,
  generateGaugeChartTool,
  generateTreemapChartTool,
  generateSunburstChartTool,
  generateHeatmapChartTool,
  generateCandlestickChartTool,
  generateBoxplotChartTool,
  generateGraphChartTool,
  generateParallelChartTool,
  generateTreeChartTool,
];
  • src/utils/imageHandler.ts:39-170 (helper)
    The generateChartImage helper function called by the handler to render the ECharts option and return image data, SVG string, or ECharts option object.
    export async function generateChartImage(
  echartsOption: EChartsOption,
  width = 800,
  height = 600,
  theme: "default" | "dark" = "default",
  outputType: ImageOutputFormat = "png",
  toolName = "unknown",
): Promise<ImageHandlerResult> {
  // Debug logging
  if (process.env.DEBUG_MCP_ECHARTS) {
    console.error(`[DEBUG] ${toolName} generating chart:`, {
      width,
      height,
      theme,
      outputType,
      optionKeys: Object.keys(echartsOption),
    });
  }

  try {
    // Render chart
    const result = await renderECharts(
      echartsOption,
      width,
      height,
      theme,
      outputType,
    );

    // Determine output type
    const isImage = outputType !== "svg" && outputType !== "option";

    if (!isImage) {
      // SVG or configuration options, return text directly
      const response = {
        content: [
          {
            type: "text" as const,
            text: result as string,
          },
        ],
      };

      if (process.env.DEBUG_MCP_ECHARTS) {
        console.error(`[DEBUG] ${toolName} chart generated successfully:`, {
          contentType: "text",
          textLength: (result as string).length,
        });
      }

      return response;
    }

    // PNG image type
    const buffer = result as Buffer;

    if (isMinIOConfigured()) {
      try {
        // Use MinIO storage, return URL
        const url = await storeBufferToMinIO(buffer, "png", "image/png");

        const response = {
          content: [
            {
              type: "text" as const,
              text: url,
            },
          ],
        };

        if (process.env.DEBUG_MCP_ECHARTS) {
          console.error(`[DEBUG] ${toolName} chart generated successfully:`, {
            contentType: "text",
            url: url,
          });
        }

        return response;
      } catch (minioError) {
        // MinIO failed, log warning and fallback to Base64
        if (process.env.DEBUG_MCP_ECHARTS) {
          console.error(
            `[DEBUG] ${toolName} MinIO storage failed, falling back to Base64:`,
            {
              error:
                minioError instanceof Error
                  ? minioError.message
                  : String(minioError),
            },
          );
        }
        // Continue to Base64 fallback below
      }
    }

    // Fallback to Base64
    const base64Data = buffer.toString("base64");

    const response = {
      content: [
        {
          type: "image" as const,
          data: base64Data,
          mimeType: "image/png",
        },
      ],
    };

    if (process.env.DEBUG_MCP_ECHARTS) {
      console.error(`[DEBUG] ${toolName} chart generated successfully:`, {
        contentType: "image",
        dataLength: base64Data.length,
      });
    }

    return response;
  } catch (error) {
    // Error logging
    if (process.env.DEBUG_MCP_ECHARTS) {
      console.error(`[DEBUG] ${toolName} chart generation failed:`, {
        error: error instanceof Error ? error.message : String(error),
        stack: error instanceof Error ? error.stack : undefined,
      });
    }

    throw new Error(
      `Chart rendering failed: ${
        error instanceof Error ? error.message : String(error)
      }`,
    );
  }
}

Tool Definition Quality

B3.3/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, and the description only states the chart type. It does not disclose output behavior, side effects, permissions, or limitations beyond the schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence, front-loaded with the key action and resource, no extraneous information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Description is minimal but covers the basic purpose. Given 7 parameters and no output schema, more detail on when to use this chart type would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description adds no additional parameter context beyond the schema's own descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it generates a parallel coordinates chart for multi-dimensional data, with a concrete example of comparing products across attributes. The tool name and description uniquely identify it among sibling chart generators.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use parallel coordinates vs other chart types, no mention of alternatives or when not to use the tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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