Comet ML MCP
Manage Comet ML experiments with AI via MCP. Track experiments, compare models, optimize hyperparameters, and monitor model production.
What is Comet ML MCP?
Comet ML MCP connects AI to Comet's ML platform. Comet provides experiment tracking, model production monitoring, and collaborative ML workflows with a focus on reproducibility and explainability.
Production Model Monitoring
Beyond experiment tracking, Comet's Model Production Monitoring (MPM) tracks deployed models for data drift, performance degradation, and anomalies — all queryable through AI via MCP.
Configuration
{
"mcpServers": {
"comet": {
"command": "npx",
"args": ["comet-mcp"],
"env": {
"COMET_API_KEY": "your_api_key"
}
}
}
}
Use Cases
Comet MCP serves ML teams tracking experiments through production, organizations monitoring deployed models, and data scientists needing AI-powered experiment analysis and model management.
Key Features
- Track experiment metrics and parameters
- Compare model performance visually
- Manage model registry and versions
- Monitor models in production (MPM)
- Analyze feature importance and explanations
- Generate experiment comparison reports
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