MCP Echarts
🧬 Generate visual charts using ECharts with AI MCP dynamically, used for chart generation and data analysis.
MCP Echarts is an open-source mcp server by hustcc, written mainly in TypeScript, with 269 GitHub stars and the MIT license. Its code was last updated Aug 27, 2026.
Scan summary: scanned Nov 5, 2026 at commit 3ed2496. No capabilities flagged by our checks. Scan policy
3ed2496 · Nov 5, 2026Findings (2)
- lowLow. Minor, or common in normal tools. Shown for information.package.json has a prepare scripthusky && npm run build
package.json - lowLow. Minor, or common in normal tools. Shown for information.No manifest declaring network access and environment variables (agent.json)
Network activity
Tools exposed (18)
generate_echartsGenerate 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
generate_area_chartGenerate 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 ob
generate_line_chartGenerate 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_chartGenerate a bar chart to show data for numerical comparisons among different categories, such as, comparing categorical data and for horizontal comparisons.
generate_pie_chartGenerate a pie chart to show the proportion of parts, such as, market share and budget allocation.
generate_radar_chartGenerate 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_chartGenerate 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_chartGenerate 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_chartGenerate 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_chartGenerate a gauge chart to display single indicator's current status, such as, CPU usage rate, completion progress, or performance scores.
generate_treemap_chartGenerate 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_chartGenerate a sunburst chart to display multi-level hierarchical data, such as, organizational structure, file system hierarchy, or category breakdown.
generate_heatmap_chartGenerate a heatmap chart to display data density or intensity distribution, such as, user activity patterns by time and day, or correlation matrix.
generate_candlestick_chartGenerate a candlestick chart for financial data visualization, such as, stock prices, cryptocurrency prices, or other OHLC (Open-High-Low-Close) data.
generate_boxplot_chartGenerate a boxplot chart to show data for statistical summaries among different categories, such as, comparing the distribution of data points across categories.
generate_graph_chartGenerate a network graph chart to show relationships (edges) between entities (nodes), such as, relationships between people in social networks.
generate_parallel_chartGenerate a parallel coordinates chart to display multi-dimensional data, such as, comparing different products across multiple attributes.
generate_tree_chartGenerate a tree chart to display hierarchical data structure, such as, organizational chart, family tree, or file directory structure.
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