kaggle-mcp

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kaggle-mcp is a MCP (Multi-Channel Protocol) server designed to facilitate interaction with Kaggle APIs. It allows users to connect, manage, and utilize Kaggle competitions, datasets, and other resources seamlessly within a unified platform, simplifying tasks like data retrieval, submission, and monitoring.
Added on:
Created by:
Mar 22 2025
kaggle-mcp

kaggle-mcp

0 Reviews
0
0
kaggle-mcp
kaggle-mcp is a MCP (Multi-Channel Protocol) server designed to facilitate interaction with Kaggle APIs. It allows users to connect, manage, and utilize Kaggle competitions, datasets, and other resources seamlessly within a unified platform, simplifying tasks like data retrieval, submission, and monitoring.
Added on:
Created by:
Mar 22 2025
Dixing (Dex) Xu
Featured

What is kaggle-mcp?

kaggle-mcp functions as a server that implements the MCP protocol for Kaggle APIs, providing tools for managing Kaggle data, competitions, and user credentials. It supports the addition of notes and resource management, enabling efficient collaboration and automation of Kaggle workflows. The server is configurable, requiring Kaggle credentials stored locally or via environment variables, and can be integrated into larger data science pipelines. Its main features include API access, resource management, and collaboration support, making it suitable for data scientists, researchers, and developers working regularly with Kaggle datasets and competitions.

Who will use kaggle-mcp?

  • Data scientists
  • Kaggle competition participants
  • Data engineers
  • Research professionals
  • Machine learning developers

How to use the kaggle-mcp?

  • Step 1: Install the MCP server following the provided documentation
  • Step 2: Configure Kaggle credentials in the specified directory or environment variables
  • Step 3: Launch the server using the command provided in the setup instructions
  • Step 4: Connect your tools or clients to the MCP server endpoint
  • Step 5: Use the server APIs to manage Kaggle datasets, competitions, and notes

kaggle-mcp's Core Features & Benefits

The Core Features
  • Add notes to the server
  • Manage Kaggle resources
  • Handle user credentials
The Benefits
  • Simplifies Kaggle API interactions
  • Provides a unified platform for resource management
  • Supports automation and collaboration

kaggle-mcp's Main Use Cases & Applications

  • Automating Kaggle data retrieval workflows
  • Managing multiple Kaggle competitions and datasets
  • Collaborating with team members using shared notes and resources

FAQs of kaggle-mcp

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