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quickchart-server MCP Server

Community
GongRzhe

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

PublisherGongRzhe
RepositoryQuickchart-MCP-Server
LanguageJavaScript
Forks
43
Stars
161
Available tools
2
Transport typestdio
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    quickchart-server MCP Server exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 2 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    161 stars and 43 forks from the linked repository.

quickchart-server MCP Server

image

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 image

image

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

Installation

Installing

bash
npm install @gongrzhe/quickchart-mcp-server

Installing via Smithery

To install QuickChart Server for Claude Desktop automatically via Smithery:

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"]
    }
  }
}

or

json
{
  "mcpServers": {
    "quickchart-server": {
      "command": "npx",
      "args": [
        "-y",
        "@gongrzhe/quickchart-mcp-server"
      ]
    }
  }
}

Documentation References

📜 License

This project is licensed under the MIT License.

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "gongrzhe-quickchart-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@gongrzhe/quickchart-mcp-server"
      ]
    }
  }
}

Use quickchart-server MCP Server MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once quickchart-server MCP Server is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add quickchart-server MCP Server as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the quickchart-server MCP Server MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "gongrzhe-quickchart-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@gongrzhe/quickchart-mcp-server"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the quickchart-server MCP Server MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the quickchart-server MCP Server MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use quickchart-server MCP Server to help me with this task?
quickchart-server MCP Server
Sure. I read it.
Here is what I found using quickchart-server MCP Server.

Frequently asked questions

What is the quickchart-server MCP Server MCP server used for?

quickchart-server MCP Server is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use quickchart-server MCP Server MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use quickchart-server MCP Server with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use quickchart-server MCP Server MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With quickchart-server MCP Server connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect quickchart-server MCP Server MCP to TypingMind?

quickchart-server MCP Server runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does quickchart-server MCP Server MCP provide in TypingMind?

quickchart-server MCP Server exposes 2 MCP tools that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use quickchart-server MCP Server MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If quickchart-server MCP Server requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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