deepfabric
pipStandardDeepfabric generates synthetic data for training ML models, provides tools for model training, and includes metrics for evaluation. It connects to standard ML frameworks and data pipelines. Developers use it to create and test models with synthetic data, reducing dependency on real-world datasets.
826710Updated 4 weeks ago
Overview
Deepfabric generates synthetic data for training ML models, provides tools for model training, and includes metrics for evaluation. It connects to standard ML frameworks and data pipelines. Developers use it to create and test models with synthetic data, reducing dependency on real-world datasets.
Installation
1Install the package
pip
pip install deepfabric2Add to Claude
Add this configuration to your claude_desktop_config.json:
claude_desktop_config.json
{
"mcpServers": {
"always-further-deepfabric-github": {
"command": "uvx",
"args": [
"pip install deepfabric"
]
}
}
}3Verify installation
Restart Claude Desktop, then ask:
"What tools do you have available from deepfabric?"
Prerequisites
- Python 3.10 or higher
- pip or uv package manager
- Claude Desktop or Claude API access
- API key for deepfabric
Configuration
API Key Required
This server requires an API key from deepfabric. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| DEEPFABRIC_API_KEY | Yes | Your deepfabric API key |
Usage Examples
List Resources
"What resources are available in deepfabric?"
Claude will query available resources and return a list of what you can access.
Get Details
"Show me details about [specific item] in deepfabric"
Claude will fetch and display detailed information about the requested item.
Create New
"Create a new [item] in deepfabric with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
Works with deepfabric
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