What is MCP Server Chart

MCP Server Chart is a TypeScript-based Model Context Protocol server designed for generating a variety of charts using AntV visualization tools. It supports over 20 different chart types, enabling users to create visual representations of data efficiently.

Use cases

This server is ideal for applications requiring data visualization, such as business analytics, reporting dashboards, and educational tools. It can generate various charts like bar charts, line charts, pie charts, and geographic maps, making it suitable for diverse fields including finance, marketing, and research.

How to use

To use MCP Server Chart, users can configure it within desktop applications by adding specific server configurations. It can be run locally using npm commands, and supports different transport protocols like SSE and streamable. Users can also deploy it privately or use it in cloud environments.

Key features

Key features include support for more than 20 chart types, the ability to generate geographic visualizations, and options for private deployment. It also provides a service for viewing chart generation records and can be integrated with various applications and platforms.

Where to use

MCP Server Chart can be utilized in desktop applications, cloud platforms like Aliyun and Modelscope, and through HTTP or SSE protocols. It is suitable for developers and data analysts looking to integrate chart generation capabilities into their projects.

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_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 above geographic visualization chart generation tool uses AMap service and currently only supports map generation within China.

🤖 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.

[!NOTE]
The private deployment solution currently does not support geographic visualization chart generation include 3 tools: geographic-district-map, geographic-path-map, geographic-pin-map.

🗺️ Generate Records

By default, users are required to save the results themselves, but we also provide a service for viewing the chart generation records, which requires users to generate a service identifier for themselves and configure it.

Use Alipay to scan and open the mini program to generate a personal service identifier (click the “My” menu below, enter the “My Services” page, click the “Generate” button, and click the “Copy” button after success):

Next, you need to add the SERVICE_ID environment variable to the MCP server configuration. For example, the configuration for Mac is as follows (for Windows systems, just add the env variable):

{
  "mcpServers": {
    "AntV Map": {
      "command": "npx",
      "args": [
        "-y",
        "@antv/mcp-server-chart"
      ],
      "env": {
        "SERVICE_ID": "***********************************"
      }
    }
  }
}

After updating the MCP Server configuration, you need to restart your AI client application and check again whether you have started and connected to the MCP Server successfully. Then you can try to generate the map again. After the generation is successful, you can go to the “My Map” page of the mini program to view your map generation records.

🔨 Development

Install dependencies:

npm install

Build the server:

npm run build

Start the MCP server:

npm run start

📄 License

MIT@AntV.

Installation

Local

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

Remote

{
  "mcpServers": {
    "mcp-server-chart": {
      "type": "streamable-http",
      "url": "https://router.mcpso.cc/mcp/mcp-server-chart"
    }
  }
}