What formats can MCP ECharts export?
It can export charts to PNG, SVG, and raw ECharts option JSON formats.
MCP ECharts
@hustcc
关于 MCP ECharts
Generate Apache ECharts diagram and chart with AI MCP dynamically. Using for chart generation and data analysis.
MCP ECharts 配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-echarts": {
"command": "npx",
"args": [
"-y",
"mcp-echarts"
]
}
}
}MCP ECharts 工具
18Generate 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 an area chart to show data trends under continuous independent variables and observe the overall data trend, such as, displacement = velocity (average or instantaneous) × time: s = v × t. If the x-axis is time (t) and the y-axis is velocity (v) at each moment, an area chart allows you to observe the trend of velocity over time and infer the distance traveled by the area's size.
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 a bar chart to show data for numerical comparisons among different categories, such as, comparing categorical data and for horizontal comparisons.
Generate a pie chart to show the proportion of parts, such as, market share and budget allocation.
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 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 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 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 a gauge chart to display single indicator's current status, such as, CPU usage rate, completion progress, or performance scores.
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 a sunburst chart to display multi-level hierarchical data, such as, organizational structure, file system hierarchy, or category breakdown.
Generate a heatmap chart to display data density or intensity distribution, such as, user activity patterns by time and day, or correlation matrix.
Generate a candlestick chart for financial data visualization, such as, stock prices, cryptocurrency prices, or other OHLC (Open-High-Low-Close) data.
Generate a boxplot chart to show data for statistical summaries among different categories, such as, comparing the distribution of data points across categories.
Generate a network graph chart to show relationships (edges) between entities (nodes), such as, relationships between people in social networks.
Generate a parallel coordinates chart to display multi-dimensional data, such as, comparing different products across multiple attributes.
Generate a tree chart to display hierarchical data structure, such as, organizational chart, family tree, or file directory structure.
概览
What is MCP ECharts?
MCP ECharts is an MCP server that dynamically generates Apache ECharts diagrams and charts with AI assistance. It is designed for chart generation and data analysis, supporting all ECharts features and local execution.
How to use MCP ECharts?
Install and run the server via npx -y mcp-echarts. Configure it as an MCP server in desktop apps like Claude, VSCode, Cline, or Cherry Studio by adding the appropriate JSON configuration (macOS or Windows). It also supports HTTP and SSE protocols for use on remote platforms.
Key features of MCP ECharts
- Full support for all ECharts syntax, data, style, and themes.
- Export charts to PNG, SVG, or ECharts option format.
- Validates ECharts syntax for correct multi-round output.
- Lightweight with zero dependencies.
- Fully local generation; no reliance on remote services.
Use cases of MCP ECharts
- Generate interactive charts from natural language descriptions.
- Create data visualizations for reports and dashboards.
- Iteratively refine chart options with AI assistance.
- Embed chart generation in AI‑powered coding or analysis tools.
常见问题
Does MCP ECharts require any remote services?
No. All chart generation happens entirely locally, making it secure and offline-capable.
What runtime does MCP ECharts need?
It runs on Node.js and is installed via npx (or npm). No other dependencies are required.
How do I connect MCP ECharts to my AI client?
Add a `mcpServers` configuration entry with the appropriate command for your operating system (e.g., `npx -y mcp-echarts` for macOS). It also supports HTTP/SSE for remote use.
Can MCP ECharts validate my chart code?
Yes, it validates ECharts syntax to help the AI model produce correct chart options and graphics.
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