简介

使用AI MCP动态生成Apache ECharts图表。支持所有ECharts功能，导出为png、svg和option格式，轻量且安全。

简介

使用AI MCP动态生成Apache ECharts图表。支持所有ECharts功能，导出为png、svg和option格式，轻量且安全。

MCP ECharts

使用AI MCP动态生成Apache ECharts图表和图形。用于图表生成和数据分析。

✨ 特性

• 完全支持ECharts的所有特性和语法，包括数据、样式、主题等。
• 支持导出为png、svg和option格式，并对ECharts进行验证，以便模型多轮输出正确的语法和图形。
• 轻量级，可以使用零依赖安装。
• 极其安全，完全在本地生成，不依赖任何远程服务。

🤖 使用方法

与桌面应用程序一起使用，如Claude、VSCode、Cline、Cherry Studio等，添加以下MCP服务器配置。在Mac系统上：

{

  "mcpServers": {

    "mcp-echarts": {

      "command": "npx",

      "args": [

        "-y",

        "mcp-echarts"

      ]

    }

  }

}

在Windows系统上：

{

  "mcpServers": {

    "mcp-echarts": {

      "command": "cmd",

      "args": [

        "/c",

        "npx",

        "-y",

        "mcp-echarts"

      ]

    }

  }

}

此外，您还可以通过HTTP、SSE协议在阿里云、modelscope、glama.ai、smithery.ai或其他平台上使用它。

🔨 开发

安装依赖项：

npm install

构建服务器：

npm run build

启动MCP服务器：

npm run start

📄 许可证

MIT@hustcc

工具列表

• generate_echarts: Generate visual charts using Apache ECharts with echarts option and configuration dynamically. Apache ECharts is an Open Source JavaScript Visualization Library, which is used to create interactive charts and visualizations in web applications. It supports a wide range of chart types, including line charts, bar charts, pie charts, scatter plots, and more. ECharts is highly customizable and can be integrated with various data sources to create dynamic visualizations.

• generate_line_chart: Generate a line chart to show trends over time, such as, the ratio of Apple computer sales to Apple's profits changed from 2000 to 2016.

• generate_bar_chart: Generate a bar chart to show data for numerical comparisons among different categories, such as, comparing categorical data and for horizontal comparisons.

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

• generate_radar_chart: 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.

• generate_scatter_chart: Generate a scatter chart to show the relationship between two variables, helps discover their relationship or trends, such as, the strength of correlation, data distribution patterns.

• generate_sankey_chart: Generate a sankey chart to visualize the flow of data between different stages or categories, such as, the user journey from landing on a page to completing a purchase.

• generate_funnel_chart: Generate a funnel chart to visualize the progressive reduction of data as it passes through stages, such as, the conversion rates of users from visiting a website to completing a purchase.

• generate_gauge_chart: Generate a gauge chart to display single indicator's current status, such as, CPU usage rate, completion progress, or performance scores.

• generate_treemap_chart: Generate a treemap chart to display hierarchical data and can intuitively show comparisons between items at the same level, such as, show disk space usage with treemap.

• generate_sunburst_chart: Generate a sunburst chart to display multi-level hierarchical data, such as, organizational structure, file system hierarchy, or category breakdown.

• generate_heatmap_chart: Generate a heatmap chart to display data density or intensity distribution, such as, user activity patterns by time and day, or correlation matrix.

• generate_candlestick_chart: Generate a candlestick chart for financial data visualization, such as, stock prices, cryptocurrency prices, or other OHLC (Open-High-Low-Close) data.

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

• generate_graph_chart: Generate a network graph chart to show relationships (edges) between entities (nodes), such as, relationships between people in social networks.

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

• generate_tree_chart: Generate a tree chart to display hierarchical data structure, such as, organizational chart, family tree, or file directory structure.

服务配置

[{'mcpServers': {'mcp-echarts': {'args': ['-y', 'mcp-echarts'], 'command': 'npx'}}}, {'mcpServers': {'mcp-echarts': {'args': ['/c', 'npx', '-y', 'mcp-echarts'], 'command': 'cmd'}}}]

来源

• 来源：github
• 链接：https://github.com/hustcc/mcp-echarts