Kaggle

by 54yyyu

3 stars

493 downloads

Not rated

GitHub

About

Integrates with Kaggle's API to enable competition participation, dataset management, kernel operations, and model submissions for data scientists and machine learning practitioners.

Details

Author: 54yyyu
Repository: 54yyyu/kaggle-mcp
GitHub stars: 3
Downloads: 493
License: MIT License
Categories: Developer Tools, Design, File Management, AI, Search, Security, Frontend, API
Tags: #integration

- Authentication: Securely authenticate with your Kaggle credentials
- Competitions: Browse, search, and download data from Kaggle competitions
- Datasets: Find, explore, and download datasets from Kaggle
- Kernels: Search for and analyze Kaggle notebooks/kernels
- Models: Access pre-trained models available on Kaggle

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Kaggle

Command (node, npx, python, etc.) kaggle-mcp

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "kaggle": {
            "cwd": "string",
            "env": {},
            "args": [],
            "shell": false,
            "command": "kaggle-mcp"
        }
    }
}

JSON

{
    "mcpServers": {
        "kaggle": {
            "cwd": "string",
            "env": {},
            "args": [],
            "shell": false,
            "command": "kaggle-mcp"
        }
    }
}

JSON

{
    "mcpServers": {
        "kaggle": {
            "cwd": "string",
            "env": {},
            "args": [],
            "shell": false,
            "command": "kaggle-mcp"
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "kaggle": {
            "cwd": "string",
            "env": {},
            "args": [],
            "shell": false,
            "command": "kaggle-mcp"
        }
    }
}

JSON

{
    "mcpServers": {
        "kaggle": {
            "cwd": "string",
            "env": {},
            "args": [],
            "shell": false,
            "command": "kaggle-mcp"
        }
    }
}

JSON

{
    "mcpServers": {
        "kaggle": {
            "cwd": "string",
            "env": {},
            "args": [],
            "shell": false,
            "command": "kaggle-mcp"
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "kaggle": {
            "cwd": "string",
            "env": {},
            "args": [],
            "shell": false,
            "command": "kaggle-mcp"
        }
    }
}

JSON

{
    "mcpServers": {
        "kaggle": {
            "cwd": "string",
            "env": {},
            "args": [],
            "shell": false,
            "command": "kaggle-mcp"
        }
    }
}

JSON

{
    "mcpServers": {
        "kaggle": {
            "cwd": "string",
            "env": {},
            "args": [],
            "shell": false,
            "command": "kaggle-mcp"
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "kaggle": {
            "cwd": "string",
            "env": {},
            "args": [],
            "shell": false,
            "command": "kaggle-mcp"
        }
    }
}

JSON

{
    "mcpServers": {
        "kaggle": {
            "cwd": "string",
            "env": {},
            "args": [],
            "shell": false,
            "command": "kaggle-mcp"
        }
    }
}

JSON

{
    "mcpServers": {
        "kaggle": {
            "cwd": "string",
            "env": {},
            "args": [],
            "shell": false,
            "command": "kaggle-mcp"
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "kaggle": {
            "cwd": "string",
            "env": {},
            "args": [],
            "shell": false,
            "command": "kaggle-mcp"
        }
    }
}

JSON

{
    "mcpServers": {
        "kaggle": {
            "cwd": "string",
            "env": {},
            "args": [],
            "shell": false,
            "command": "kaggle-mcp"
        }
    }
}

JSON

{
    "mcpServers": {
        "kaggle": {
            "cwd": "string",
            "env": {},
            "args": [],
            "shell": false,
            "command": "kaggle-mcp"
        }
    }
}

From the repository

After installation, run the setup utility to configure Claude Desktop:

kaggle-mcp-setup

This will locate and update your Claude Desktop configuration file, which is typically found at:
- macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
- Windows: %APPDATA%\Claude\claude_desktop_config.json
- Linux: ~/.config/Claude/claude_desktop_config.json

The following commands install the base version of Kaggle-MCP.

curl -LsSf https://raw.githubusercontent.com/54yyyu/kaggle-mcp/main/install.sh | sh



powershell -c "Invoke-WebRequest -Uri https://raw.githubusercontent.com/54yyyu/kaggle-mcp/main/install.ps1 -OutFile install.ps1; .\install.ps1"

pip install git+https://github.com/54yyyu/kaggle-mcp.git

uv pip install git+https://github.com/54yyyu/kaggle-mcp.git

Alternatively, you can manually add the following to your Claude Desktop configuration:

{
  "mcpServers": {
    "kaggle": {
      "command": "kaggle-mcp"
    }
  }
}

For a comprehensive list of available tools and their detailed usage, please refer to the documentation at stevenyuyy.us/kaggle-mcp.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "kaggle": {
            "cwd": "string",
            "env": {},
            "args": [],
            "shell": false,
            "command": "kaggle-mcp"
        }
    }
}

Linux

{
    "cwd": "string",
    "env": [],
    "args": [],
    "shell": false,
    "command": "kaggle-mcp"
}

Macos

{
    "cwd": "string",
    "env": [],
    "args": [],
    "shell": false,
    "command": "kaggle-mcp"
}

Windows

{
    "cwd": "string",
    "env": [],
    "args": [],
    "shell": false,
    "command": "kaggle-mcp"
}

Kaggle-MCP: Kaggle API Integration for Claude AI

     ██╗  ██╗ █████╗  ██████╗  ██████╗ ██╗     ███████╗       ███╗   ███╗ ██████╗██████╗ 
     ██║ ██╔╝██╔══██╗██╔════╝ ██╔════╝ ██║     ██╔════╝       ████╗ ████║██╔════╝██╔══██╗
     █████╔╝ ███████║██║  ███╗██║  ███╗██║     █████╗         ██╔████╔██║██║     ██████╔╝
     ██╔═██╗ ██╔══██║██║   ██║██║   ██║██║     ██╔══╝  ████─  ██║╚██╔╝██║██║     ██╔═══╝ 
     ██║  ██╗██║  ██║╚██████╔╝╚██████╔╝███████╗███████╗       ██║ ╚═╝ ██║╚██████╗██║     
     ╚═╝  ╚═╝╚═╝  ╚═╝ ╚═════╝  ╚═════╝ ╚══════╝╚══════╝       ╚═╝     ╚═╝ ╚═════╝╚═╝

Kaggle-MCP connects Claude AI to the Kaggle API through the Model Context Protocol (MCP), enabling competition, dataset, and kernel operations through the AI interface.

Features

Quick Installation

The following commands install the base version of Kaggle-MCP.

macOS / Linux

```bash

No reviews yet — be the first

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

Linux

Macos

Windows

Kaggle-MCP: Kaggle API Integration for Claude AI

Features

Quick Installation

macOS / Linux

Install

More like this

Sentry

Github

Git

GitLab

Context 7

Playwright