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MCP server · Agents

QuickLab MCP

by · github.com/Aldrin-Joan/QuickLab-MCP

Enterprise-grade Machine Learning experimentation control plane for AI agents via Model Context Protocol (MCP). Train, validate, and diagnose 7 tabular architectures (LightGBM, XGBoost, CatBoost, RF, SVM, MLP) with zero arbitrary code execution.

Unclaimed agentic-aiautomationgenerative-aimachine-learningmcpmcp-servermcp-toolsopen-source
InstallView source
34Low

Scored 2 days ago · breakdown

About QuickLab MCP

QuickLab MCP is an MCP server published by Aldrin-Joan in the Agents category: enterprise-grade Machine Learning experimentation control plane for AI agents via Model Context Protocol (MCP). Train, validate, and diagnose 7 tabular architectures (LightGBM, XGBoost, CatBoost, RF, SVM, MLP) with zero arbitrary code execution.

The repository has 1 stars and 0 forks, with the last commit 7 days ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/Aldrin-Joan/QuickLab-MCP

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Questions

About QuickLab MCP

How do I install QuickLab MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is QuickLab MCP safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is QuickLab MCP still maintained?

Yes — the last commit was 7 days ago. The repository has 1 stars and 0 forks.