mcp-server-scikit-learn: MCP server for Scikit-learn

@shibuiwilliam

About mcp-server-scikit-learn: MCP server for Scikit-learn

No overview available yet

#mcp-server #scikit-learn #model-context-protocol

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-server-scikit-learn": {
      "command": "npx",
      "args": [
        "@modelcontextprotocol/inspector",
        "uv",
        "--directory=src/mcp_server_scikit_learn",
        "run",
        "mcp-server-scikit-learn"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is mcp-server-scikit-learn?

The mcp-server-scikit-learn is a Model Context Protocol server that provides a standardized interface for interacting with Scikit-learn models and datasets. It is designed for developers who want to train, evaluate, and manage Scikit-learn models via the MCP protocol.

How to use mcp-server-scikit-learn?

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.

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

Train and evaluate machine learning models through an MCP-compliant interface
Automate data preprocessing and feature engineering pipelines
Manage model lifecycle with persistent storage and loading
Perform cross-validation and hyperparameter tuning remotely

FAQ from mcp-server-scikit-learn

Is this server ready for ephemeral environments like `uvx`?

No, this project is not yet set up for ephemeral environments; you must clone the repo and run it locally.

What are the runtime requirements?

The server requires Python and uses uv as the package runner; a virtual environment is recommended.

How do I debug the server?

Launch the MCP inspector via npm (npx @modelcontextprotocol/inspector ...) to get a browser-accessible debugging URL.

Can I use this server without cloning the repo?

Currently, a local clone is required; there is no uvx or pip-based one-line install described in the README.

Frequently asked questions

Is this server ready for ephemeral environments like `uvx`?

No, this project is not yet set up for ephemeral environments; you must clone the repo and run it locally.

What are the runtime requirements?

The server requires Python and uses `uv` as the package runner; a virtual environment is recommended.

How do I debug the server?

Launch the MCP inspector via npm (`npx @modelcontextprotocol/inspector ...`) to get a browser-accessible debugging URL.

Can I use this server without cloning the repo?

Currently, a local clone is required; there is no `uvx` or pip-based one-line install described in the README.

Comments

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