mcp-server-scikit-learn: MCP server for Scikit-learn
Description
# mcp-server-scikit-learn: MCP server for Scikit-learn ## Overview This is a Model Context Protocol server for Scikit-learn, providing a standardized interface for interacting with Scikit-learn models and datasets. ## Features * Train and evaluate Scikit-learn models * Handle…
About
# mcp-server-scikit-learn: MCP server for Scikit-learn ## Overview This is a Model Context Protocol server for Scikit-learn, providing a standardized interface for interacting with Scikit-learn models and datasets. ## Features * Train and evaluate Scikit-learn models * Handle datasets and data preprocessing * Model…
Details
- Author
- shibuiwilliam
- Downloads
- 235
- Categories
- Other
Jump to
- Train and evaluate Scikit-learn models
- Handle datasets and data preprocessing
- Model persistence and loading
- Feature engineering and selection
- Model evaluation metrics
- Cross-validation and hyperparameter tuning
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
mcp-server-scikit-learn: MCP server for Scikit-learnCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Clone the repository locally, then launch the MCP inspector using npx @modelcontextprotocol/inspector uv --directory=src/mcp_server_scikit_learn run mcp-server-scikit-learn. Alternatively, add it as a MCP server in your configuration with the uv command pointing to the local directory.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp-server-scikit-learn: mcp server for scikit-learn": {
"mcp-server-scikit-learn": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"uv",
"--directory=src/mcp_server_scikit_learn",
"run",
"mcp-server-scikit-learn"
]
}
}
}
}McpServers
{
"mcp-server-scikit-learn": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"uv",
"--directory=src/mcp_server_scikit_learn",
"run",
"mcp-server-scikit-learn"
]
}
}mcp-server-scikit-learn: MCP server for Scikit-learn
Overview
This is a Model Context Protocol server for Scikit-learn, providing a standardized interface for interacting with Scikit-learn models and datasets.
Features
Train and evaluate Scikit-learn models
Handle datasets and data preprocessing
Model persistence and loading
Feature engineering and selection
Model evaluation metrics
Cross-validation and hyperparameter tuning
Run this project locally
This project is not yet set up for ephemeral environments (e.g. uvx usage). Run this project locally by cloning this repo:
git clone https://github.com/yourusername/mcp-server-scikit-learn.git
cd mcp-server-scikit-learn
You can launch the MCP inspector via npm:
npx @modelcontextprotocol/inspector uv --directory=src/mcp_server_scikit_learn run mcp-server-scikit-learn
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
OR Add this tool as a MCP server:
{
"scikit-learn": {
"command": "uv",
"args": [
"--directory",
"/path/to/mcp-server-scikit-learn",
"run",
"mcp-server-scikit-learn"
]
}
}
Development
1. Create and activate a virtual environment:
python -m venv .venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
2. Install dependencies:
pip install -e ".[dev]"
3. Run tests:
pytest -s -v tests/
License
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