Antvis chart MCP server

AntV Chart MCP Server

A Model Context Protocol server for generating charts using AntV. This server provides chart generation and data analysis capabilities with support for 25+ chart types including area, bar, line, pie, radar, scatter plots, maps, and specialized visualizations like treemaps, sankey diagrams, and word clouds.

Chart Output: All chart generation tools return direct links to high-quality PNG images of the generated charts, making them easy to view, share, and embed in documents or applications.

About this MCP Server: To understand how to connect to and utilize this MCP server, please refer to the official Model Context Protocol documentation at mcp.apify.com.

Connection URL

MCP clients can connect to this server at:

https://mcp-servers--antvis-chart-mcp-server.apify.actor/mcp

Client Configuration

To connect to this MCP server, use the following configuration in your MCP client:

{
  "mcpServers": {
    "antvis-chart": {
      "url": "https://mcp-servers--antvis-chart-mcp-server.apify.actor/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_APIFY_TOKEN"
      }
    }
  }
}

Note: Replace YOUR_APIFY_TOKEN with your actual Apify API token. You can find your token in the Apify Console.

🚩 Claim this MCP server

All credits to the original authors of https://github.com/antvis/mcp-server-chart

✨ Features

Now 25+ charts supported.

1. generate_area_chart: Generate an area chart, used to display the trend of data under a continuous independent variable, allowing observation of overall data trends.
2. generate_bar_chart: Generate a bar chart, used to compare values across different categories, suitable for horizontal comparisons.
3. generate_boxplot_chart: Generate a boxplot, used to display the distribution of data, including the median, quartiles, and outliers.
4. generate_column_chart: Generate a column chart, used to compare values across different categories, suitable for vertical comparisons.
5. generate_district_map - Generate a district-map, used to show administrative divisions and data distribution.
6. generate_dual_axes_chart: Generate a dual-axes chart, used to display the relationship between two variables with different units or ranges.
7. generate_fishbone_diagram: Generate a fishbone diagram, also known as an Ishikawa diagram, used to identify and display the root causes of a problem.
8. generate_flow_diagram: Generate a flowchart, used to display the steps and sequence of a process.
9. generate_funnel_chart: Generate a funnel chart, used to display data loss at different stages.
10. generate_histogram_chart: Generate a histogram, used to display the distribution of data by dividing it into intervals and counting the number of data points in each interval.
11. generate_line_chart: Generate a line chart, used to display the trend of data over time or another continuous variable.
12. generate_liquid_chart: Generate a liquid chart, used to display the proportion of data, visually representing percentages in the form of water-filled spheres.
13. generate_mind_map: Generate a mind-map, used to display thought processes and hierarchical information.
14. generate_network_graph: Generate a network graph, used to display relationships and connections between nodes.
15. generate_organization_chart: Generate an organizational chart, used to display the structure of an organization and personnel relationships.
16. generate_path_map - Generate a path-map, used to display route planning results for POIs.
17. generate_pie_chart: Generate a pie chart, used to display the proportion of data, dividing it into parts represented by sectors showing the percentage of each part.
18. generate_pin_map - Generate a pin-map, used to show the distribution of POIs.
19. generate_radar_chart: Generate a radar chart, used to display multi-dimensional data comprehensively, showing multiple dimensions in a radar-like format.
20. generate_sankey_chart: Generate a sankey chart, used to display data flow and volume, representing the movement of data between different nodes in a Sankey-style format.
21. generate_scatter_chart: Generate a scatter plot, used to display the relationship between two variables, showing data points as scattered dots on a coordinate system.
22. generate_treemap_chart: Generate a treemap, used to display hierarchical data, showing data in rectangular forms where the size of rectangles represents the value of the data.
23. generate_venn_chart: Generate a venn diagram, used to display relationships between sets, including intersections, unions, and differences.
24. generate_violin_chart: Generate a violin plot, used to display the distribution of data, combining features of boxplots and density plots to provide a more detailed view of the data distribution.
25. generate_word_cloud_chart: Generate a word-cloud, used to display the frequency of words in textual data, with font sizes indicating the frequency of each word.

Note: The geographic visualization chart generation tools use AMap service and currently only support map generation within China.

🤖 Usage Examples

Generate a Simple Bar Chart

Ask the server to create a bar chart comparing sales data:

Generate a bar chart showing quarterly sales: Q1: 100, Q2: 150, Q3: 120, Q4: 180

Create a Line Chart for Time Series

Create a line chart showing website traffic over 6 months: Jan: 1000, Feb: 1200, Mar: 1100, Apr: 1400, May: 1600, Jun: 1500

Generate a Pie Chart for Distribution

Make a pie chart showing market share: Company A: 35%, Company B: 25%, Company C: 20%, Others: 20%

Create Advanced Visualizations

Generate a treemap showing product categories and their revenue contribution
Generate a sankey diagram showing customer journey from awareness to purchase
Create a radar chart comparing product features across multiple dimensions

References

To learn more about Apify and Actors, take a look at the following resources:

• Apify SDK for JavaScript documentation
• Apify SDK for Python documentation
• Apify Platform documentation
• Apify MCP Server
• Webinar: Building and Monetizing MCP Servers on Apify
• Join our developer community on Discord