Quickchart MCP Server

What does “Quickchart” MCP Server do?

The Quickchart MCP Server is a Model Context Protocol (MCP) server designed to generate charts using the QuickChart.io service. It enables AI assistants and clients to create a variety of chart types through defined MCP tools, allowing seamless integration of chart generation into development workflows. By serving as a bridge between language models and the QuickChart API, it empowers users to programmatically produce and retrieve visualizations such as bar charts, line charts, pie charts, and more, directly from their development environment. This capability is especially valuable for data analysis, reporting, and automated dashboard generation, enhancing the ability of AI systems to communicate insights visually.

List of Prompts

No information about prompt templates was found in the repository.

List of Resources

No explicit resources were listed in the repository.

List of Tools

• Chart Generation Tool
  Provides the capability to generate various types of charts via the QuickChart.io API. This tool allows users to specify chart types, data, and customization options, and then receive a URL or image of the resulting chart.

Use Cases of this MCP Server

• Automated Report Generation
  Integrate chart visualizations into automated reports by generating dynamic charts based on data inputs.
• Data Analysis and Visualization
  Easily visualize datasets for analysis and decision-making within AI-powered tools or dashboards.
• Codebase Documentation
  Enhance code or project documentation with up-to-date, programmatically-generated charts.
• Educational Content Creation
  Produce illustrative visual aids for tutorials, presentations, or online courses by generating charts on-the-fly.

How to set it up

Windsurf

1. Ensure you have Node.js installed on your system.
2. Open your Windsurf configuration file.
3. Add the Quickchart MCP Server to your mcpServers section with the following JSON snippet:

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

4. Save the file and restart Windsurf.
5. Verify the MCP server is running and accessible.

Claude

1. Install Node.js if not already present.
2. Locate Claude’s configuration file.
3. Add the Quickchart MCP Server under mcpServers:

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

4. Restart Claude and confirm the server registration.
5. Check access with a test chart request.

Cursor

1. Make sure Node.js is available on your system.
2. Edit Cursor’s main config file.
3. Insert the following under the mcpServers section:

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

4. Save changes and restart Cursor.
5. Test integration by generating a sample chart.

Cline

1. Prerequisite: Node.js must be installed.
2. Open the Cline configuration file.
3. Register the Quickchart MCP Server:

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

4. Save and restart Cline.
5. Verify by requesting a chart.

Securing API Keys

If you need to use API keys or secrets, store them in environment variables. Example JSON configuration:

{
  "mcpServers": {
    "quickchart-mcp": {
      "command": "npx",
      "args": ["@quickchart/mcp-server@latest"],
      "env": {
        "QUICKCHART_API_KEY": "your_api_key_here"
      },
      "inputs": {
        "apiKey": "${QUICKCHART_API_KEY}"
      }
    }
  }
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "quickchart-mcp": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “quickchart-mcp” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Based on the tables above, the Quickchart MCP Server provides a clear and focused tool for chart generation, with setup instructions and API key security guidance. However, it lacks prompt templates, explicit resources, and information on advanced MCP features like Roots or Sampling. Usability is good for its core function, but extensibility appears limited.

MCP Score