ClearML MCP
Manage ClearML MLOps with AI via MCP. Track experiments, orchestrate pipelines, manage data, and automate ML infrastructure.
What is ClearML MCP?
ClearML MCP connects AI to ClearML's end-to-end MLOps platform. ClearML provides experiment tracking, ML pipeline orchestration, data management, and model serving — all as open-source with optional enterprise features.
End-to-End MLOps
AI models through ClearML MCP can manage the entire ML lifecycle — from data preparation through training, optimization, and deployment — providing unified visibility and control.
Configuration
{
"mcpServers": {
"clearml": {
"command": "npx",
"args": ["clearml-mcp"],
"env": {
"CLEARML_API_HOST": "https://api.clear.ml",
"CLEARML_API_ACCESS_KEY": "your_access_key",
"CLEARML_API_SECRET_KEY": "your_secret_key"
}
}
}
}
Use Cases
ClearML MCP serves ML teams managing complex pipelines, organizations needing end-to-end MLOps automation, and teams running distributed training across GPU clusters.
Key Features
- Track experiments and compare results
- Orchestrate ML pipelines and tasks
- Manage datasets and data processing
- Automate hyperparameter optimization
- Monitor remote agent workers
- Manage model serving and deployment
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