Feature Evaluation MCP

v1.0.0Data Science & MLstable

Enables comprehensive feature engineering for classification datasets with automated preprocessing and 13 specialized analysis tools. Supports feature importance calculation, correlation analysis, recursive feature elimination, and model evaluation w

feature-evaluation-mcp-servermcpai-integration
Share:
0
Stars
0
Downloads
0
Weekly
0/5

What is Feature Evaluation MCP?

Feature Evaluation MCP is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables comprehensive feature engineering for classification datasets with automated preprocessing and 13 specialized analysis tools. supports feature importance calculation, correlation analysis, rec...

Enables comprehensive feature engineering for classification datasets with automated preprocessing and 13 specialized analysis tools. Supports feature importance calculation, correlation analysis, recursive feature elimination, and model evaluation w

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

Features

  • Enables comprehensive feature engineering for classification

Use Cases

Enables comprehensive feature engineering for classification datasets with autom
jaivardhan1209

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx feature-evaluation-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 Feature Evaluation MCP

What is Feature Evaluation MCP?

Feature Evaluation MCP is a Model Context Protocol (MCP) server that enables comprehensive feature engineering for classification datasets with automated preprocessing and 13 specialized analysis tools. supports feature importance calculation, correlation analysis, recursive feature elimination, and model evaluation w It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Feature Evaluation MCP?

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

Which AI clients work with Feature Evaluation MCP?

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

Is Feature Evaluation MCP free to use?

Yes, Feature Evaluation MCP 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": { "feature-evaluation-mcp-server": { "command": "npx", "args": ["-y", "feature-evaluation-mcp-server"] } } }

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

Read the full setup guide →

Ready to use Feature Evaluation MCP?

Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.

33,000+ ServersFree & Open SourceStep-by-Step Guides