AntV Chart Generator MCP server

The MCP Server Chart is a TypeScript-based Model Context Protocol server that provides chart generation capabilities using AntV. It enables you to create various types of charts through MCP tools and can be integrated with platforms like Dify.

Features

The server currently supports 15+ chart types:

• Area charts
• Bar charts
• Column charts
• Dual axes charts
• Fishbone diagrams
• Flow diagrams
• Histogram charts
• Line charts
• Mind maps
• Network graphs
• Pie charts
• Radar charts
• Scatter charts
• Treemap charts
• Word cloud charts

Installation

Global Installation

To install the package globally:

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

Integration with Desktop Applications

To use with desktop applications like Claude, VSCode, Cline, Cherry Studio, Cursor, etc., add the following MCP server configuration:

For macOS:

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

For Windows:

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

Usage

Running with Different Transport Options

You can run the server with various transport protocols:

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

# For Streamable transport
mcp-server-chart --transport streamable

Once running, you can access the server at:

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

CLI Options

The server provides several command-line options:

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

For users requiring private deployment, you can customize your chart generation service using the VIS_REQUEST_SERVER environment variable:

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

You can deploy an HTTP service in a private environment using AntV's GPT-Vis-SSR project, then pass the URL through the VIS_REQUEST_SERVER environment variable.

How to add this MCP server to Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "cursor-rules-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "cursor-rules-mcp"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.