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521,367 tools. Updated 2026-09-06 10:44

"Kaggle" matching MCP tools:

  • Verify your Kaggle authentication by retrieving your username and credential source without exposing the API key.
    MIT
  • Kick off a Kaggle competition by fetching rules and deadlines, downloading data, running EDA with target auto-detection, and returning a baseline plan plus remaining submission budget.
    MIT
  • Search and list Kaggle models with filters for search term, owner, sort order, and page size.
    MIT
  • Get a sorted overview of Kaggle competitions including prize, evaluation metric, deadline, and days left, helping you choose which competition to enter at a glance.
    MIT

Matching MCP Servers

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    A safety-first MCP server that connects Claude to Kaggle, enabling competition management, dataset analysis, submission tracking, and kernel execution with built-in safeguards against destructive actions and prompt injection.
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    MIT
  • Upload a file to Kaggle to obtain a token for dataset creation. Provide file name and text content.
    MIT
  • Update an existing Kaggle model by modifying its title, subtitle, description, or privacy setting.
    MIT
  • Browse Kaggle write-ups by type, including knowledge, competition solutions, hackathons, personal projects, forum topics, and blogs, with optional search filtering.
    MIT
  • Search and list Kaggle competitions by keyword, category, or sort order. Filter by featured, research, playground and paginate results.
    MIT
  • Search and list Kaggle datasets with filters for sort order, file type, and pagination.
    MIT
  • Delete a Kaggle model by providing the owner username and model slug. Permanently removes the model from Kaggle.
    MIT
  • Search and list Kaggle notebooks with filters for competition, dataset, sort order, and pagination.
    MIT
  • Create a new Kaggle model by specifying owner, slug, title, and optionally subtitle, description, and privacy settings.
    MIT
  • Find datasets on Kaggle by entering a search query. This tool uses the Kaggle API to match and retrieve relevant datasets for analysis or machine learning projects.
    MIT
  • Publish a notebook to Kaggle by providing a title and source code. Configure language, kernel type, and privacy settings.
    MIT
  • Check if a Kaggle dataset slug is already taken before creating or publishing a dataset. Confirm owner/slug availability to prevent duplicate uploads.
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