Determined AI MCP
Train ML models with AI via MCP. Manage Determined AI experiments, distributed training, hyperparameter search, and GPU clusters.
What is Determined AI MCP?
Determined AI MCP integrates HPE's Determined AI platform with AI through MCP. Determined AI specializes in distributed deep learning training with built-in hyperparameter search, fault tolerance, and smart GPU scheduling.
Distributed Training Intelligence
AI models can manage distributed training experiments, monitor GPU cluster health, analyze hyperparameter search results, and optimize resource allocation across training jobs.
Configuration
{
"mcpServers": {
"determined-ai": {
"command": "npx",
"args": ["determined-ai-mcp"],
"env": {
"DET_MASTER": "http://localhost:8080",
"DET_USER": "admin",
"DET_PASS": "your_password"
}
}
}
}
Use Cases
Determined AI MCP serves deep learning teams running large-scale distributed training, organizations managing GPU clusters, and teams needing advanced hyperparameter optimization with AI assistance.
Key Features
- Manage distributed training experiments
- Configure hyperparameter search strategies
- Monitor GPU cluster utilization
- Track experiment metrics and checkpoints
- Manage model registry and versions
- Optimize resource scheduling and fair-share
Similar MCP Servers
View all →Everything Claude Code
The agent harness performance optimization system.
Mcp For Beginners
This open-source curriculum introduces the fundamentals of MCP.
DesktopCommanderMCP
MCP server for Claude with terminal control and file search.
Docker Hub MCP
Official MCP server to interact with Docker Hub.