wehub-resource-sync
51 lines
1.6 KiB
Markdown
51 lines
1.6 KiB
Markdown
# SDV MCP Server
|
|
|
|
We are going to implement an MCP server to orchestrate the Synthetic Data Vault (SDV) for completely local synthetic data generation. Agents will be able to connect to discover tools and then create, statistically evaluate, and visualize synthetic datasets based on our real-world tabular data.
|
|
|
|
We use:
|
|
|
|
- [SDV](https://docs.sdv.dev/sdv) for synthetic data generation of tabular data
|
|
- Cursor (MCP Host)
|
|
|
|
## Set Up
|
|
|
|
Run these commands in project root
|
|
|
|
### Install Dependencies
|
|
|
|
```bash
|
|
uv sync
|
|
```
|
|
|
|
### Use MCP Server
|
|
|
|
Run the MCP server with the created configuration file as `mcp.json` either globally or in the current project directory. Here's the code of configuring MCP globally to run the server:
|
|
|
|
```json
|
|
{
|
|
"mcpServers": {
|
|
"sdv_mcp": {
|
|
"command": "uv",
|
|
"args": [
|
|
"--directory",
|
|
"/Users/akshay/Eigen/ai-engineering-hub/sdv-mcp",
|
|
"run",
|
|
"--with",
|
|
"mcp",
|
|
"server.py"
|
|
]
|
|
}
|
|
}
|
|
}
|
|
```
|
|
|
|
## 📬 Stay Updated with Our Newsletter!
|
|
|
|
**Get a FREE Data Science eBook** 📖 with 150+ essential lessons in Data Science when you subscribe to our newsletter! Stay in the loop with the latest tutorials, insights, and exclusive resources. [Subscribe now!](https://join.dailydoseofds.com)
|
|
|
|
[](https://join.dailydoseofds.com)
|
|
|
|
## Contribution
|
|
|
|
Contributions are welcome! Feel free to fork this repository and submit pull requests with your improvements.
|