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Proj MCP Synthetic Data

Creating MCP server for synthetic data generation using SDV library

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Creating MCP server for synthetic data generation using SDV library.

Install uv as the main package manager

brew install uv
uv init
uv venv
source .venv/bin/activate

Packages

uv add sdv fastmcp pandas

Run inspector to test locally: npx @modelcontextprotocol/inspector uv run main.py

Install Claude Desktop as MCP Client (or any other MCP Clients).

Update claude_desktop_config.json for Claude Desktop to connect to the MCP Server (locally hosted)

Generate Tool: creates synthetic data from real data using SDV Synthesizer
Evaluate Tool: evaluates quality of synthetic data in comparison to real data by assessing statistical similarity to determine which real data patterns are captured by the synthetic data
Visualize Tool: generates visualization to compare real and synthetic data for specific column

Prompts to run in Claude Desktop:

Generate synthetic data for the data present in the folder "..."
Evaluate the synthetic data that has been generated for the actual data folder located at "..."
Visualize amenities_fee column in the guests table, and compare the distribution of synthetic data to that of real data for this specific column

Python

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