MCP Server Chart is a TypeScript-based MCP server that generates data visualizations using the AntV charting library. It enables AI assistants to create charts and perform data analysis through MCP tools. Key features of MCP Server Chart: - Supports 26+ chart types including area, bar, column, boxplot, and district maps - Generates visualizations for trend analysis, category comparisons, and data distribution - Enables geographic data visualization with district-level mapping - Integrates with Dify for extended workflow capabilities - Supports private deployment with configurable environment variables - Includes tool filtering to customize available chart generation options

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_.

[](https://github.com/antvis/mcp-server-chart/actions/workflows/build.yml) [](https://www.npmjs.com/package/@antv/mcp-server-chart) [](https://www.npmjs.com/package/@antv/mcp-server-chart) [](https://codecov.io/gh/antvis/mcp-server-chart) [](https://smithery.ai/servers/antvis/mcp-server-chart)

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.

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. 1. generate_bar_chart: Generate a bar chart, used to compare values across different categories, suitable for horizontal comparisons. 1. generate_boxplot_chart: Generate a boxplot, used to display the distribution of data, including the median, quartiles, and outliers. 1. generate_column_chart: Generate a column chart, used to compare values across different categories, suitable for vertical comparisons. 1. generate_district_map - Generate a district-map, used to show administrative divisions and data distribution. 1. generate_dual_axes_chart: Generate a dual-axes chart, used to display the relationship between two variables with different units or ranges. 1. generate_fishbone_diagram: Generate a fishbone diagram, also known as an Ishikawa diagram, used to identify and display the root causes of a problem. 1. generate_flow_diagram: Generate a flowchart, used to display the steps and sequence of a process. 1. generate_funnel_chart: Generate a funnel chart, used to display data loss at different stages. 1. 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. 1. generate_line_chart: Generate a line chart, used to display the trend of data over time or another continuous variable. 1. generate_liquid_chart: Generate a liquid chart, used to display the proportion of data, visually representing percentages in the form of water-filled spheres. 1. generate_mind_map: Generate a mind-map, used to display thought processes and hierarchical information. 1. generate_network_graph: Generate a network graph, used to display relationships and connections between nodes. 1. generate_organization_chart: Generate an organizational chart, used to display the structure of an organization and personnel relationships. 1. generate_path_map - Generate a path-map, used to display route planning results for POIs. 1. 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. 1. generate_pin_map - Generate a pin-map, used to show the distribution of POIs. 1. generate_radar_chart: Generate a radar chart, used to display multi-dimensional data comprehensively, showing multiple dimensions in a radar-like format. 1. generate_sankey_chart: Generate a sankey chart, used to display data f