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.
Description supplied by the publisher; it is a claim, not verified evidence.
- Name
- github:Aldrin-Joan/QuickLab-MCP
- Listed in
- GitHub
- Publisher
- @aldrin-joan
- Published
- 2026-10-20
- Evidence
- Listed only, not analyzed yet
Source: https://github.com/aldrin-joan/quicklab-mcp
What a full analysis of QuickLab-MCP checks
Not checked yet. About 60 tools are analyzed every hour; each check links to its source when it runs:
- Publisher identity: not checked yet
- Repository ownership: not checked yet
- Organization verification: not checked yet
- Artifact provenance: not checked yet
- Source availability: not checked yet
- Version evidence: not checked yet
- Known vulnerabilities: not checked yet
- Install scripts: not checked yet
- Maintenance: not checked yet
- License: not checked yet
Before you install it
- Open the repository and confirm the account is the one you expect: look-alike names are common.
- Read what it asks for: files, accounts, network access and credentials it needs.
- Prefer a version from a verified publisher when one exists.