prassanna-ravishankar/clearml-mcp

lightweight MCP server for ClearML

44
/ 100
Emerging

This tool helps Machine Learning Engineers and Data Scientists quickly get insights into their ClearML experiments and models directly from their AI assistant. You can ask natural language questions to your AI assistant (like Claude, Cursor, or Continue), and it will retrieve details on experiment parameters, model performance metrics, training curves, and artifacts. This allows you to understand and compare your machine learning work without leaving your AI conversation.

No commits in the last 6 months. Available on PyPI.

Use this if you use ClearML to manage your machine learning experiments and want to query or analyze your experiment data using an AI assistant.

Not ideal if you do not use ClearML for experiment tracking or if your AI assistant does not support the Model Context Protocol (MCP).

Machine-Learning-Operations Experiment-Tracking Model-Analysis AI-Assistant-Integration MLOps
Stale 6m
Maintenance 2 / 25
Adoption 4 / 25
Maturity 24 / 25
Community 14 / 25

How are scores calculated?

Stars

8

Forks

3

Language

Python

License

MIT

Last pushed

Jul 24, 2025

Commits (30d)

0

Dependencies

3

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