HistGradientBoosting

v1.0.0Data Science & MLstable

Provides tools for training, managing, and making predictions with scikit-learn's HistGradientBoostingClassifier models. It allows users to handle model lifecycles, including creation, evaluation, and serialization, via the Model Context Protocol.

histgradientboostingclassifier-mcp-servermcpai-integration
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What is HistGradientBoosting?

HistGradientBoosting is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to provides tools for training, managing, and making predictions with scikit-learn's histgradientboostingclassifier models. it allows users to handle model lifecycles, including creation, evaluation, and...

Provides tools for training, managing, and making predictions with scikit-learn's HistGradientBoostingClassifier models. It allows users to handle model lifecycles, including creation, evaluation, and serialization, via the Model Context Protocol.

This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Provides tools for training, managing, and making prediction

Use Cases

Train and manage scikit-learn gradient boosting models.
Handle model evaluation and serialization through MCP interface.
francoisgoupil

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx histgradientboostingclassifier-mcp-server

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about HistGradientBoosting

What is HistGradientBoosting?

HistGradientBoosting is a Model Context Protocol (MCP) server that provides tools for training, managing, and making predictions with scikit-learn's histgradientboostingclassifier models. it allows users to handle model lifecycles, including creation, evaluation, and serialization, via the model context protocol. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install HistGradientBoosting?

Follow the installation instructions on the HistGradientBoosting GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with HistGradientBoosting?

HistGradientBoosting works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is HistGradientBoosting free to use?

Yes, HistGradientBoosting is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Data Science & ML MCP Servers

Explore all data science & ml servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "histgradientboostingclassifier-mcp-server": { "command": "npx", "args": ["-y", "histgradientboostingclassifier-mcp-server"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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