A Model Context Protocol server for generating charts using AntV. We can use this mcp server for chart generation and data analysis.
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
- 🤖 Usage
- 🎨 Skill Usage
- 🚰 Run with SSE or Streamable transport
- 🎮 CLI Options
- ⚙️ Environment Variables
- 📠 Private Deployment
- 🗺️ Generate Records
- 🎛️ Tool Filtering
- 🔨 Development
- 📄 License
Now 26+ charts supported.
generate_area_chart: Generate anareachart, used to display the trend of data under a continuous independent variable, allowing observation of overall data trends.generate_bar_chart: Generate abarchart, used to compare values across different categories, suitable for horizontal comparisons.generate_boxplot_chart: Generate aboxplot, used to display the distribution of data, including the median, quartiles, and outliers.generate_column_chart: Generate acolumnchart, used to compare values across different categories, suitable for vertical comparisons.generate_district_map- Generate adistrict-map, used to show administrative divisions and data distribution.generate_dual_axes_chart: Generate adual-axeschart, used to display the relationship between two variables with different units or ranges.generate_fishbone_diagram: Generate afishbonediagram, also known as an Ishikawa diagram, used to identify and display the root causes of a problem.generate_flow_diagram: Generate aflowchart, used to display the steps and sequence of a process.generate_funnel_chart: Generate afunnelchart, used to display data loss at different stages.generate_histogram_chart: Generate ahistogram, used to display the distribution of data by dividing it into intervals and counting the number of data points in each interval.generate_line_chart: Generate alinechart, used to display the trend of data over time or another continuous variable.generate_liquid_chart: Generate aliquidchart, used to display the proportion of data, visually representing percentages in the form of water-filled spheres.generate_mind_map: Generate amind-map, used to display thought processes and hierarchical information.generate_network_graph: Generate anetworkgraph, used to display relationships and connections between nodes.generate_organization_chart: Generate anorganizationalchart, used to display the structure of an organization and personnel relationships.generate_path_map- Generate apath-map, used to display route planning results for POIs.generate_pie_chart: Generate apiechart, used to display the proportion of data, dividing it into parts represented by sectors showing the percentage of each part.generate_pin_map- Generate apin-map, used to show the distribution of POIs.generate_radar_chart: Generate aradarchart, used to display multi-dimensional data comprehensively, showing multiple dimensions in a radar-like format.generate_sankey_chart: Generate asankeychart, used to display data flow and volume, representing the movement of data between different nodes in a Sankey-style format.generate_scatter_chart: Generate ascatterplot, used to display the relationship between two variables, showing data points as scattered dots on a coordinate system.generate_treemap_chart: Generate atreemap, used to display hierarchical data, showing data in rectangular forms where the size of rectangles represents the value of the data.generate_venn_chart: Generate avenndiagram, used to display relationships between sets, including intersections, unions, and differences.generate_violin_chart: Generate aviolinplot, used to display the distribution of data, combining features of boxplots and density plots to provide a more detailed view of the data distribution.generate_word_cloud_chart: Generate aword-cloud, used to display the frequency of words in textual data, with font sizes indicating the frequency of each word.generate_spreadsheet: Generate aspreadsheetor pivot table for displaying tabular data. When 'rows' or 'values' fields are provided, it renders as a pivot table (cross-tabulation); otherwise, it renders as a regular table.
Note
The above geographic visualization chart generation tool uses AMap service and currently only supports map generation within China.
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.
If you are using an AI IDE with skill support (like Claude Code), you can use the chart-visualization skill to automatically select the best chart type and generate visualizations.
You can add the skill from https://github.com/antvis/chart-visualization-skills using:
npx skills add antvis/chart-visualization-skillsThen provide your data or describe the visualization you want. The skill will intelligently choose from 25+ chart types and generate the chart for you.
Install the package globally.
npm install -g @antv/mcp-server-chartRun 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 streamableThen you can access the server at:
- SSE transport:
http://localhost:1122/sse - Streamable transport:
http://localhost:1122/mcp
Enter the docker directory.
cd dockerDeploy using docker-compose.
docker compose up -dThen you can access the server at:
- SSE transport:
http://localhost:1123/sse - Streamable transport:
http://localhost:1122/mcp
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")
--host, -h Specify the host for SSE or streamable transport (default: localhost)
--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
| Variable | Description | Default | Example |
|---|---|---|---|
VIS_REQUEST_SERVER |
Custom chart generation service URL for private deployment | https://antv-studio.alipay.com/api/gpt-vis |
https://your-server.com/api/chart |
SERVICE_ID |
Service identifier for chart generation records | - | your-service-id-123 |
DISABLED_TOOLS |
Comma-separated list of tool names to disable | - | generate_fishbone_diagram,generate_mind_map |
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-SSRfor rendering. Such as,{ "type": "line", "data": [{ "time": "2025-05", "value": 512 }, { "time": "2025-06", "value": 1024 }] }. - Return: The return object of HTTP service.
- success:
booleanWhether generate chart image successfully. - resultObj:
stringThe chart image url. - errorMessage:
stringWhensuccess = false, return the error message.
- success:
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.
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.
You can disable specific chart generation tools using the DISABLED_TOOLS environment variable. This is useful when certain tools have compatibility issues with your MCP client or when you want to limit the available functionality.
{
"mcpServers": {
"mcp-server-chart": {
"command": "npx",
"args": ["-y", "@antv/mcp-server-chart"],
"env": {
"DISABLED_TOOLS": "generate_fishbone_diagram,generate_mind_map"
}
}
}
}Available tool names for filtering See the ✨ Features.
Install dependencies:
npm installBuild the server:
npm run buildStart the MCP server:
npm run startStart the MCP server with SSE transport:
node build/index.js -t sseStart the MCP server with Streamable transport:
node build/index.js -t streamableMIT@AntV.