Valohai MCP
Manage ML pipelines on Valohai with AI via MCP. Orchestrate training, manage executions, track experiments, and deploy models.
What is Valohai MCP?
Valohai MCP integrates Valohai's ML pipeline orchestration platform with AI through MCP. Valohai specializes in making ML training reproducible and scalable, with automatic version control for all experiment components.
Reproducible ML
Every execution on Valohai is automatically version-controlled — code, data, environment, and results. AI models can query this complete lineage to understand how any result was produced.
Configuration
{
"mcpServers": {
"valohai": {
"command": "npx",
"args": ["valohai-mcp"],
"env": {
"VALOHAI_TOKEN": "your_api_token"
}
}
}
}Use Cases
Valohai MCP is perfect for ML teams requiring reproducible experiments, organizations managing multi-cloud GPU training, and enterprises needing complete ML audit trails.
Key Features
- Orchestrate ML training pipelines
- Manage execution environments and resources
- Track experiment metadata and metrics
- Version datasets and models
- Monitor GPU utilization and costs
- Deploy models to serving endpoints
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