ClearML
Enables AI assistants to interact with ClearML experiments, models, and projects through a lightweight Model Context Protocol server.
About
ClearML is a lightweight Model Context Protocol (MCP) server designed to bridge the gap between AI assistants and your ClearML MLOps platform. It provides AI agents with comprehensive context and analysis of ML experiments, models, and projects, enabling capabilities like experiment discovery, performance analysis, real-time metric access, smart search, and artifact management. This integration allows AI assistants to understand and interact with your machine learning workflows directly within their conversation interfaces, streamlining ML experiment analysis and decision-making for developers and data scientists.
Key Features
- Artifact & Model Management
- 3 GitHub stars
- Experiment Discovery & Analysis
- Cross-platform AI Assistant Integration
- Performance & Real-time Metrics Analysis
- Smart Search & Filtering for ML Tasks
Use Cases
- Analyzing ML experiments and model performance with AI assistants
- Comparing metrics and hyperparameters between different ML tasks
- Retrieving training curves, artifacts, and outputs for specific experiments
