Weights & Biases MCP
Manage W&B experiments with AI via MCP. Track runs, compare models, analyze sweeps, and manage ML artifacts in Weights & Biases.
What is Weights & Biases MCP?
Weights & Biases MCP connects AI to the W&B platform, the leading experiment tracking tool for ML teams. W&B provides experiment tracking, dataset versioning, model management, and collaborative ML workflows.
Sweep Analysis
AI models can analyze hyperparameter sweeps, identify promising configurations, and suggest next experiments based on patterns in your W&B data. This accelerates the model development cycle significantly.
Configuration
{
"mcpServers": {
"wandb": {
"command": "npx",
"args": ["wandb-mcp"],
"env": {
"WANDB_API_KEY": "your_api_key"
}
}
}
}Use Cases
W&B MCP is essential for ML researchers running experiments, teams managing collaborative ML projects, and organizations needing AI-powered experiment analysis and optimization.
Key Features
- Track and compare experiment runs
- Analyze hyperparameter sweeps
- Monitor training metrics in real-time
- Manage datasets and model artifacts
- Query run histories and system metrics
- Generate experiment reports
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