Generate and Download Charts with QuickChart
MCP server that generates Chart.js-based charts via QuickChart.io, providing tools to create bar, line, pie, and other chart types as URLs or downloadable
Why it matters
Integrate with QuickChart.io to programmatically generate various chart types and download them as image files. Supports multiple chart types and customization via Chart.js configurations.
Outcomes
What it gets done
Generate chart URLs using QuickChart.io.
Download generated chart images to local files.
Support for multiple chart types including bar, line, pie, and more.
Customize charts with labels, datasets, and colors.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/vb-quickchart | bash Capabilities
Tools your agent gets
Generates a chart URL via QuickChart.io with support for multiple chart types and customizable parameters
Downloads a chart image to a local file, accepting chart configuration and output path as parameters
Overview
QuickChart MCP Server
A Model Context Protocol server that integrates with QuickChart.io's URL-based chart generation service to create chart images using Chart.js configurations. Use when you need to generate data visualizations programmatically through MCP tools, either as URLs for embedding or as downloadable image files, without setting up your own chart rendering infrastructure.
What it does
Big Job: When you need to visualize data as charts within AI workflows without managing chart rendering infrastructure.
Small Job: Generate chart URLs or download chart images by providing Chart.js configurations through MCP tools.
This TypeScript-based MCP server provides chart generation capabilities through QuickChart.io. It includes generate_chart for creating chart URLs and download_chart for saving chart images to local files. The server supports 10 chart types: bar, line, pie, doughnut, radar, polarArea, scatter, bubble, radialGauge, and speedometer.
Install via npm:
npm install @gongrzhe/quickchart-mcp-server
Or configure for Claude Desktop:
{
"mcpServers": {
"quickchart-server": {
"command": "npx",
"args": [
"-y",
"@gongrzhe/quickchart-mcp-server"
]
}
}
}
Provide Chart.js configuration objects with type, data (labels and datasets), and styling options. The server converts configurations into QuickChart URLs or saves images to specified paths.
Source README
quickchart-server MCP Server
A Model Context Protocol server for generating charts using QuickChart.io
This is a TypeScript-based MCP server that provides chart generation capabilities. It allows you to create various types of charts through MCP tools.
Overview
This server integrates with QuickChart.io's URL-based chart generation service to create chart images using Chart.js configurations. Users can generate various types of charts by providing data and styling parameters, which the server converts into chart URLs or downloadable images.
Features
Tools
generate_chart- Generate a chart URL using QuickChart.io- Supports multiple chart types: bar, line, pie, doughnut, radar, polarArea, scatter, bubble, radialGauge, speedometer
- Customizable with labels, datasets, colors, and additional options
- Returns a URL to the generated chart
download_chart- Download a chart image to a local file- Takes chart configuration and output path as parameters
- Saves the chart image to the specified location
Supported Chart Types
- Bar charts: For comparing values across categories
- Line charts: For showing trends over time
- Pie charts: For displaying proportional data
- Doughnut charts: Similar to pie charts with a hollow center
- Radar charts: For showing multivariate data
- Polar Area charts: For displaying proportional data with fixed-angle segments
- Scatter plots: For showing data point distributions
- Bubble charts: For three-dimensional data visualization
- Radial Gauge: For displaying single values within a range
- Speedometer: For speedometer-style value display
Usage
Chart Configuration
The server uses Chart.js configuration format. Here's a basic example:
{
"type": "bar",
"data": {
"labels": ["January", "February", "March"],
"datasets": [{
"label": "Sales",
"data": [65, 59, 80],
"backgroundColor": "rgb(75, 192, 192)"
}]
},
"options": {
"title": {
"display": true,
"text": "Monthly Sales"
}
}
}
URL Generation
The server converts your configuration into a QuickChart URL:
https://quickchart.io/chart?c={...encoded configuration...}
Development
Install dependencies:
npm install
Build the server:
npm run build
Installation
Installing
npm install @gongrzhe/quickchart-mcp-server
Installing via Smithery
To install QuickChart Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @gongrzhe/quickchart-mcp-server --client claude
To use with Claude Desktop, add the server config:
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"quickchart-server": {
"command": "node",
"args": ["/path/to/quickchart-server/build/index.js"]
}
}
}
or
{
"mcpServers": {
"quickchart-server": {
"command": "npx",
"args": [
"-y",
"@gongrzhe/quickchart-mcp-server"
]
}
}
}
Documentation References
๐ License
This project is licensed under the MIT License.
FAQ
Common questions
Discussion
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