About Kaggle NodeJS MCP Server
Kaggle NodeJS MCP Server lets MCP clients explore Kaggle datasets and make notebooks with them. It requires Kaggle credentials and a project build before use.
Key features
- 01Explore Kaggle datasets
- 02Create notebooks from datasets
- 03Use through an MCP client
Use cases
- 01Explore Kaggle datasets
- 02Create notebooks using Kaggle data
MCP support
The MCP server connects to an MCP client, which can use it to explore Kaggle datasets and make notebooks based on them.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEKaggle NodeJS MCP Server
To use this:
- Download this repo
- Add a valid
KAGGLE_USERNAMEandKAGGLE_KEYto a/the.envfile at the root of this repo - Run
npm run build - Hook up to an MCP client to explore Kaggle datasets and make notebooks using them
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.