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https://github.com/dexhunter/kaggle-mcp

mcp server for kaggle apis
https://github.com/dexhunter/kaggle-mcp

kaggle mcp

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mcp server for kaggle apis

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README

          

# kaggle-mcp MCP server

A MCP server for Kaggle Apis

## Components

### Tools

The server implements one tool:
- add-note: Adds a new note to the server
- Takes "name" and "content" as required string arguments
- Updates server state and notifies clients of resource changes

## Configuration

Ensure that you have downloaded your Kaggle credentials
(`kaggle.json`) and placed it in the `~/.kaggle/` directory (this is the default
location where the Kaggle API looks for your credentials)

Otherwise you can add the env `KAGGLE_USERNAME` and `KAGGLE_KEY` to the mcp config

## Quickstart

### Install

#### Claude Desktop

On MacOS: `~/Library/Application\ Support/Claude/claude_desktop_config.json`
On Windows: `%APPDATA%/Claude/claude_desktop_config.json`

Development/Unpublished Servers Configuration
```
"mcpServers": {
"kaggle-mcp": {
"command": "uv",
"args": [
"--directory",
"/Users/{username}/Work/kaggle-mcp",
"run",
"kaggle-mcp"
]
}
}
```

Published Servers Configuration
```
"mcpServers": {
"kaggle-mcp": {
"command": "uvx",
"args": [
"kaggle-mcp"
]
}
}
```

## Development

### Building and Publishing

To prepare the package for distribution:

1. Sync dependencies and update lockfile:
```bash
uv sync
```

2. Build package distributions:
```bash
uv build
```

This will create source and wheel distributions in the `dist/` directory.

3. Publish to PyPI:
```bash
uv publish
```

Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token: `--token` or `UV_PUBLISH_TOKEN`
- Or username/password: `--username`/`UV_PUBLISH_USERNAME` and `--password`/`UV_PUBLISH_PASSWORD`

### Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging
experience, we strongly recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector).

You can launch the MCP Inspector via [`npm`](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) with this command:

```bash
npx @modelcontextprotocol/inspector uv --directory /Users/{username}/Work/kaggle-mcp run kaggle-mcp
```

Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.