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Quickchart MCP Server

A Model Context Protocol server for generating charts using QuickChart.io . It allows you to create various types of charts through MCP tools.

Reviewed overview

MCP サーバー概要

# quickchart-server MCP Server

![image](https://github.com/user-attachments/assets/1093570f-7c6b-4e5f-ad69-f8a9f950376a) <a href=“https://smithery.ai/server/@GongRzhe/Quickchart-MCP-Server”><img alt=“Smithery Badge” src=“https://smithery.ai/badge/@GongRzhe/Quickchart-MCP-Server”></a>

![](https://badge.mcpx.dev?type=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

![image](https://github.com/user-attachments/assets/c008adbb-55ec-4432-bfe7-5644a0fccfae)

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:

```javascript { “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: ```bash npm install ```

Build the server: ```bash npm run build ```

For development with auto-rebuild: ```bash npm run watch ```

Installation

Installing via Smithery

To install QuickChart Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@GongRzhe/Quickchart-MCP-Server):

```bash 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`

```json { “mcpServers”: { “quickchart-server”: { “command”: “node”, “args”: [“/path/to/quickchart-server/build/index.js”] } } } ```

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector), which is available as a package script:

```bash npm run inspector ```

The Inspector will provide a URL to access debugging tools in your browser.

Documentation References

📜 License

This project is licensed under the MIT License.