Skip to content
Conduit

mcp server

plotnine-mcp

🎨 Discover a Model Context Protocol server that enables AI-driven data visualization with plotnine, merging ggplot2’s power with natural language interaction.

luiz4986/plotnine-mcpcommunitylistedunreviewed
Use tool

Set up

Runs on your computer. Pick your agent and operating system.

Before you start

  • uv (`curl -LsSf https://astral.sh/uv/install.sh | sh`)
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "luiz4986-plotnine-mcp": {
      "command": "uvx",
      "args": [
        "plotnine-mcp"
      ]
    }
  }
}

same format Cursor, GitHub Copilot CLI, Junie, JetBrains AI Assistant, Augment (Auggie CLI), Factory Droid, Kiro, Devin CLI +12

Values in angle brackets are placeholders. Restart Claude Desktop after editing its config.Claude Desktop docs

README

synced Oct 21, 2026

🎨 plotnine-mcp - Create Stunning Visuals Easily

🚀 Getting Started

Welcome to the plotnine-mcp project! This software helps you create high-quality statistical visualizations using Python. With plotnine, you can use a simple grammar to generate charts and graphs, making your data come alive. Whether you're a student or a professional, this tool can simplify your data visualization needs.

📥 Download the Software

Download plotnine-mcp

To get started with plotnine-mcp, you need to download it from our Releases page. This page contains all the necessary files to run the application on your computer. You can find the link below:

💻 System Requirements

Before you download the software, ensure your computer meets the following requirements:

  • Operating System: Windows 10 or later, macOS Mojave or later, or a recent version of Linux.
  • Python: You need Python 3.7 or higher installed on your computer.
  • Memory: At least 4 GB of RAM is recommended.
  • Disk Space: Ensure you have at least 100 MB of free space.

🛠️ Installation Steps

Follow these steps to install plotnine-mcp on your machine:

  1. Download Software: Go to our Releases page.
  2. Select the Right File: Choose the version that fits your operating system. Common files include .exe for Windows, .dmg for macOS, and compressed files for Linux.
  3. Run the Installer:
    • For Windows: Double-click the downloaded .exe file.
    • For macOS: Open the .dmg file, then drag the plotnine-mcp icon to the Applications folder.
    • For Linux: Extract the compressed file and follow the included instructions.
  4. Launch the Application: After installation, find plotnine-mcp in your applications or search bar, and click to open.

🎨 Features

plotnine-mcp comes packed with features that make data visualization simpler:

  • User-Friendly Interface: Easily navigate through options without technical knowledge.
  • Natural Language Support: Use plain language to generate complex graphs.
  • Compatibility: Works seamlessly with popular IDEs like Claude-Code, Cursor, and VSCode.
  • Publication-Quality Visuals: Create visuals that meet publication standards without extensive graphic design skills.

📊 How to Use plotnine-mcp

Once you have installed plotnine-mcp, follow these steps to create your first visualization:

  1. Open the App: Launch the application from your applications menu.
  2. Load Your Data: Click the "Load Data" button to select your dataset. This can be in common formats like CSV or Excel.
  3. Choose a Visualization Type: Select the type of chart or graph you want to create from the menu.
  4. Enter Your Instructions: Use the natural language input box to describe your desired visual. For example, you can type "Show a bar chart of sales by month."
  5. Generate the Graph: Click the "Create" button to produce your visualization. You can then save or export your chart.

📋 Troubleshooting

If you encounter any issues while running plotnine-mcp, consider the following solutions:

  • Installation Problems: Make sure your system meets the outlined requirements. If it does, try re-downloading and reinstalling the application.
  • Performance Issues: If the application runs slowly, check if you have other resource-heavy applications open and close unnecessary ones.
  • Data Loading Problems: Ensure your dataset is clean and in a supported format. Recheck your file path and dataset size.

For further help, you can also check the issues section of our GitHub repository.

🌐 Community and Support

Engage with the plotnine-mcp community for support and feedback:

  • Issues Page: Report bugs or request features on our Issues page.
  • Feature Suggestions: We welcome your ideas to improve the tool. Let us know what you'd like to see next!

✔️ License

plotnine-mcp is licensed under the MIT License. This allows you to use, modify, and distribute the software freely, as long as you include the original license.

Thank you for choosing plotnine-mcp. We look forward to seeing your visualizations!

↑↓ navigate openesc close