Kaggle Nodejs MCP Server

🚀 Using Kaggle Dataset Service

This service enables you to explore Kaggle datasets and create notebooks. Here's how to get started:

🚀 Quick Start

Steps to Use the Service

1. Download this repository.
2. Create or modify a file named .env in the root directory, and add valid KAGGLE_USERNAME and KAGGLE_KEY.
3. Run the command npm run build.
4. Connect to an MCP client to explore Kaggle datasets and create notebooks with them.

📦 Installation

Prerequisites

• You need to have a Kaggle account and obtain your KAGGLE_USERNAME and KAGGLE_KEY from your Kaggle account settings.

Installation Steps

1. Clone the Repository
   • Clone this repository to your local machine using the following command:

   git clone <repository_url>
   

2. Configure Environment Variables
   • Navigate to the root directory of the project.
   • Create or edit the .env file and add the following lines:

   KAGGLE_USERNAME=your_username
   KAGGLE_KEY=your_api_key
   

   Replace your_username and your_api_key with your actual Kaggle username and API key.
3. Build the Project
   • Run the following command in the terminal to build the project:

   npm run build
   

💻 Usage Examples

Basic Usage

After completing the installation steps, you can connect to an MCP client to start exploring Kaggle datasets and creating notebooks. Here's a simple overview of the process:

1. Launch the MCP client.
2. Navigate to the dataset exploration section.
3. Search for and select the Kaggle datasets you're interested in.
4. Use the selected datasets to create and run notebooks.

Please note that specific operations within the MCP client may vary depending on the client's interface and functionality.