analytics-data

MCP Server Chart

by antvis

Effortlessly create 25+ chart types with MCP Server Chart. Visualize complex datasets using TypeScript and AntV for powe

Generate 25+ diverse chart types effortlessly with MCP Server Chart powered by AntV. This TypeScript-based server supports area, bar, line, pie, radar, Sankey, word cloud, and many other charts, including geographic visualizations specific to China. It enables clear and interactive display of data trends, distributions, relationships, and hierarchies. Flexible tool filtering and record management features enhance customization and monitoring. Perfect for visualizing complex datasets, MCP Server Chart integrates smoothly with various MCP tools and environments, providing developers with a powerful, easy-to-use chart generation solution to communicate data visually and effectively.

github stars

3.8K

25+ chart types supportedBuilt on AntV libraryTypeScript-based server

best for

  • / Data analysts visualizing complex datasets
  • / Developers building dashboards and reports
  • / Business users presenting metrics and KPIs
  • / Researchers analyzing statistical distributions

capabilities

  • / Generate bar, column, and line charts
  • / Create pie, radar, and funnel charts
  • / Build Sankey diagrams and word clouds
  • / Generate boxplots and histograms
  • / Create geographic maps for China regions
  • / Build flow diagrams and fishbone charts

what it does

Generate 25+ chart types (bar, line, pie, radar, Sankey, word cloud, etc.) using AntV visualization library. Creates interactive charts from data for analysis and presentation.

about

MCP Server Chart is a community-built MCP server published by antvis that provides AI assistants with tools and capabilities via the Model Context Protocol. Effortlessly create 25+ chart types with MCP Server Chart. Visualize complex datasets using TypeScript and AntV for powe It is categorized under analytics data. This server exposes 26 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install MCP Server Chart in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport. This server supports remote connections over HTTP, so no local installation is required.

license

MIT

MCP Server Chart is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

MCP Server Chart

A Model Context Protocol server for generating charts using AntV. We can use this mcp server for chart generation and data analysis.

build npm Version npm License codecov smithery installations badge Visitors

<img width="768" alt="mcp-server-chart technical digram" src="https://mdn.alipayobjects.com/huamei_qa8qxu/afts/img/A*XVH-Srg-b9UAAAAAgGAAAAgAemJ7AQ/fmt.avif" />

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.

📋 Table of Contents

✨ Features

Now 26+ charts supported.

<img width="768" alt="mcp-server-chart preview" src="https://mdn.alipayobjects.com/huamei_qa8qxu/afts/img/A*IyIRQIQHyKYAAAAAgCAAAAgAemJ7AQ/fmt.avif" />
  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.
  26. generate_spreadsheet: Generate a spreadsheet or 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.

🤖 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.

🎨 Skill Usage

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-skills

Then provide your data or describe the visualization you want. The skill will intelligently choose from 25+ chart types and generate the chart for you.

🚰 Run with SSE or Streamable transport

Run directly

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

Docker deploy

Enter the docker directory.

cd docker

Deploy using docker-compose.

docker compose up -d

Then you can access the server at:

  • SSE transport: http://localhost:1123/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")
  --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

⚙️ Environment Variables

VariableDescriptionDefaultExample
VIS_REQUEST_SERVERCustom chart generation service URL for private deploymenthttps://antv-studio.alipay.com/api/gpt-vishttps://your-server.com/api/chart
SERVICE_IDService identifier for chart generation records-your-service-id-123