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.

• generate_area_chart - Generate a area chart, and return an image URL.
• generate_bar_chart - Generate a bar chart, and return an image URL.
• generate_boxplot_chart - Generate a boxplot chart, and return an image URL.
• generate_column_chart - Generate a column chart, and return an image URL.
• generate_dual_axes_chart - Generate a dual-axes chart, and return an image URL.
• generate_fishbone_diagram - Generate a fishbone-diagram chart, and return an image URL.
• generate_flow_diagram - Generate a flow-diagram chart, and return an image URL.
• generate_funnel_chart - Generate a funnel chart, and return an image URL.
• generate_histogram_chart - Generate a histogram chart, and return an image URL.
• generate_line_chart - Generate a line chart, and return an image URL.
• generate_liquid_chart - Generate a liquid chart, and return an image URL.
• generate_mind_map - Generate a mind-map chart, and return an image URL.
• generate_network_graph - Generate a network-graph chart, and return an image URL.
• generate_organization_chart - Generate a organization-chart chart, and return an image URL.
• generate_pie_chart - Generate a pie chart, and return an image URL.
• generate_radar_chart - Generate a radar chart, and return an image URL.
• generate_sankey_chart - Generate a sankey chart, and return an image URL.
• generate_scatter_chart - Generate a scatter chart, and return an image URL.
• generate_treemap_chart - Generate a treemap chart, and return an image URL.
• generate_venn_chart - Generate a venn chart, and return an image URL.
• generate_violin_chart - Generate a violin chart, and return an image URL.
• generate_word_cloud_chart - Generate a word-cloud chart, and return an image URL.

🤖 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.