MCP Server Chart

A Model Context Protocol server for generating charts using AntV.

This is a TypeScript-based MCP server that provides chart generation capabilities. It allows you to create various types of charts through MCP tools. You can also use it in Dify.

✨ Features

Now 20+ 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_dual_axes_chart: Generate a dual-axes chart, used to display the relationship between two variables with different units or ranges.
6. generate_fishbone_diagram: Generate a fishbone diagram, also known as an Ishikawa diagram, used to identify and display the root causes of a problem.
7. generate_flow_diagram: Generate a flowchart, used to display the steps and sequence of a process.
8. generate_funnel_chart: Generate a funnel chart, used to display data loss at different stages.
9. 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.
10. generate_line_chart: Generate a line chart, used to display the trend of data over time or another continuous variable.
11. generate_liquid_chart: Generate a liquid chart, used to display the proportion of data, visually representing percentages in the form of water-filled spheres.
12. generate_mind_map: Generate a mind-map, used to display thought processes and hierarchical information.
13. generate_network_graph: Generate a network graph, used to display relationships and connections between nodes.
14. generate_organization_chart: Generate an organizational chart, used to display the structure of an organization and personnel relationships.
15. 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.
16. generate_radar_chart: Generate a radar chart, used to display multi-dimensional data comprehensively, showing multiple dimensions in a radar-like format.
17. 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.
18. 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.
19. 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.
20. generate_venn_chart: Generate a venn diagram, used to display relationships between sets, including intersections, unions, and differences.
21. 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.
22. 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.

🤖 Usage

To use with Desktop APP, such as Claude, VSCode, Cline, Cherry Studio, Cursor, and so on, add the MCP server config below. On Mac system:

{
  "mcpServers": {
    "mcp-server-chart": {
      "command": "npx",
      "args": [
        "-y",
        "@antv/mcp-server-chart"
      ]
    }
  }
}

On Window system:

{
  "mcpServers": {
    "mcp-server-chart": {
      "command": "cmd",
      "args": [
        "/c",
        "npx",
        "-y",
        "@antv/mcp-server-chart"
      ]
    }
  }
}

Also, you can use it on aliyun, modelscope, glama.ai, smithery.ai or others with HTTP, SSE Protocol.

🚰 Run with SSE or Streamable transport

Install the package globally.

npm install -g @antv/mcp-server-chart

Run the server with your preferred transport option:

# For SSE transport (default endpoint: /sse)
mcp-server-chart --transport sse

# For Streamable transport with custom endpoint
mcp-server-chart --transport streamable

Then you can access the server at:

• SSE transport: http://localhost:1122/sse
• Streamable transport: http://localhost:1122/mcp

🎮 CLI Options

You can also use the following CLI options when running the MCP server. Command options by run cli with -h.

MCP Server Chart CLI

Options:
  --transport, -t  Specify the transport protocol: "stdio", "sse", or "streamable" (default: "stdio")
  --port, -p       Specify the port for SSE or streamable transport (default: 1122)
  --endpoint, -e   Specify the endpoint for the transport:
                   - For SSE: default is "/sse"
                   - For streamable: default is "/mcp"
  --help, -h       Show this help message

📠 Private Deployment

MCP Server Chart provides a free chart generation service by default. For users with a need for private deployment, they can try using VIS_REQUEST_SERVER to customize their own chart generation service.

{
  "mcpServers": {
    "mcp-server-chart": {
      "command": "npx",
      "args": [
        "-y",
        "@antv/mcp-server-chart"
      ],
      "env": {
        "VIS_REQUEST_SERVER": "<YOUR_VIS_REQUEST_SERVER>"
      }
    }
  }
}

You can use AntV's project GPT-Vis-SSR to deploy an HTTP service in a private environment, and then pass the URL address through env VIS_REQUEST_SERVER.

• Method: POST
• Parameter: Which will be passed to GPT-Vis-SSR for renderring. Such as, { "type": "line", "data": [{ "time": "2025-05", "value": "512" }, { "time": "2025-06", "value": "1024" }] }.
• Return: The return object of HTTP service.
  • success: boolean Whether generate chart image successfully.
  • resultObj: string The chart image url.
  • errorMessage: string When success = false, return the error message.

🔨 Development

Install dependencies:

npm install

Build the server:

npm run build

Start the MCP server:

npm run start

📄 License

MIT@AntV.