kaggle-MCP vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
kaggle-MCP by Dishant27 | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 9 | ★ 85,748 |
| 30d uses | — | — |
| Score | 34 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsDeveloper Toolsdata-science | File SystemDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | 14 mo ago | this month |
kaggle-MCP · Summary
MCP server enabling AI assistants to interact with Kaggle competitions through commands and API access.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
kaggle-MCP · Use cases
- Data scientists can quickly download competition datasets without leaving their AI coding environment
- AI assistants can help prepare and submit competition entries through natural language commands
- Researchers can stay updated on Kaggle competitions and track their submission history
filesystem · Use cases
- Enable AI models to read and write project files during development
- Allow Claude or other MCP clients to browse and analyze codebases
- Provide secure sandboxed access to specific directories for content generation
kaggle-MCP · Install
Installation
- Install prerequisites:
```bash # Install Kaggle CLI pip install kaggle
# Install Node.js 16+ and TypeScript # (follow instructions for your OS) ```
- Get Kaggle API credentials:
- Go to https://www.kaggle.com/account and click "Create New API Token" - This will download a kaggle.json file - Place it in ~/.kaggle/ directory (Linux/Mac) or %USERPROFILE%\.kaggle\ (Windows)
- Install the MCP server:
``bash git clone https://github.com/Dishant27/kaggle-MCP.git cd kaggle-MCP npm install npm run build ``
- Configure Claude Desktop:
``json { "mcpServers": { "kaggle": { "command": "node", "args": ["/path/to/kaggle-MCP/build/index.js"], "env": { "KAGGLE_USERNAME": "your-kaggle-username", "KAGGLE_KEY": "your-kaggle-api-key" } } } } ``
filesystem · Install
Installation
Using NPX
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/path/to/allowed/directory"
]
}
}
}Using Docker
{
"mcpServers": {
"filesystem": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
"mcp/filesystem",
"/projects"
]
}
}
}VS Code Extension
Click the installation buttons in the README to install directly in VS Code.