DagsHub MCP
Manage ML projects on DagsHub with AI via MCP. Track experiments, version data, manage repos, and collaborate on ML workflows.
What is DagsHub MCP?
DagsHub MCP integrates DagsHub's ML collaboration platform with AI through MCP. DagsHub combines Git hosting with MLflow experiment tracking, DVC data versioning, and annotation management in a single platform.
Unified ML Collaboration
AI models can query across code, data, and experiments in a unified way — checking Git history, DVC-tracked datasets, and MLflow experiment results through a single MCP interface.
Configuration
{
"mcpServers": {
"dagshub": {
"command": "npx",
"args": ["dagshub-mcp"],
"env": {
"DAGSHUB_TOKEN": "your_api_token"
}
}
}
}
Use Cases
DagsHub MCP is ideal for ML teams needing integrated code-data-experiment management, open-source ML project collaboration, and teams using DVC for data versioning alongside MLflow tracking.
Key Features
- Track experiments with MLflow integration
- Version datasets with DVC
- Manage Git repositories and branches
- Monitor annotation projects
- Collaborate on ML projects
- Access DagsHub storage and artifacts
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