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Kaggle NodeJS MCP Server

@goeffthomas

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About Kaggle NodeJS MCP Server

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#kaggle#nodejs#mcp-server

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Overview

What is Kaggle NodeJS MCP Server?

Kaggle NodeJS MCP Server is a Model Context Protocol (MCP) server that allows users to explore Kaggle datasets and create notebooks from them. It is intended for developers who want to integrate Kaggle data exploration and notebook creation into MCP-compatible clients.

How to use Kaggle NodeJS MCP Server?

Download the repository, add your Kaggle credentials (KAGGLE_USERNAME and KAGGLE_KEY) to a .env file at the root, run npm run build, then connect the server to an MCP client.

Key features of Kaggle NodeJS MCP Server

  • Explore Kaggle datasets via an MCP client
  • Create notebooks using Kaggle datasets
  • Requires valid Kaggle API credentials

Use cases of Kaggle NodeJS MCP Server

  • Integrate Kaggle dataset browsing into AI assistant workflows
  • Automate notebook creation from selected datasets using MCP clients

FAQ from Kaggle NodeJS MCP Server

What credentials do I need?

You need a valid KAGGLE_USERNAME and KAGGLE_KEY stored in a .env file at the repository root.

How do I set up the server?

Download the repo, add your Kaggle credentials to a .env file, run npm run build, and then hook it up to an MCP client.

What can I do with this server?

You can explore Kaggle datasets and make notebooks using those datasets through an MCP client.

Frequently asked questions

What credentials do I need?

You need a valid `KAGGLE_USERNAME` and `KAGGLE_KEY` stored in a `.env` file at the repository root.

How do I set up the server?

Download the repo, add your Kaggle credentials to a `.env` file, run `npm run build`, and then hook it up to an MCP client.

What can I do with this server?

You can explore Kaggle datasets and make notebooks using those datasets through an MCP client.

Comments

Basic information

Category

Data & Analytics

Transports

stdio

Author

goeffthomas

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