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mcp-server-scikit-learn

by shibuiwilliam

This is a Model Context Protocol server for Scikit-learn, providing a standardized interface for interacting with Scikit-learn models and datasets.

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What is mcp-server-scikit-learn?

A Model Context Protocol server for Scikit-learn, designed to provide a standardized way to interact with Scikit-learn models and datasets.

How to use mcp-server-scikit-learn?

Clone the repository, navigate to the directory, and launch the MCP inspector using npm or add the tool as an MCP server in your configuration.

Key features of mcp-server-scikit-learn

  • 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

Use cases of mcp-server-scikit-learn

  • Serving Scikit-learn models in a standardized way

  • Integrating Scikit-learn models with other MCP-compatible tools

  • Experimenting with different Scikit-learn models and datasets

  • Automating model deployment and management

FAQ from mcp-server-scikit-learn

What is MCP?

Model Context Protocol, a standardized interface for interacting with models.

What is Scikit-learn?

A popular Python library for machine learning.

How do I install the dependencies?

Use pip install -e ".[dev]" after activating a virtual environment.

How do I run the tests?

Use pytest -s -v tests/ after installing the dependencies.

Where can I find the license?

In the LICENSE file.