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Devin AI e0cfb6c06d feat: Add MCP server for generating notional data

- Implement data generation server with support for insurance data
- Add comprehensive test suite with 16 test cases
- Support custom schemas and data relationships
- Use faker, mimesis, numpy, and SDV for realistic data
- Pass all type checks with pyright and lint checks with ruff

Co-Authored-By: alexander@anthropic.com <alexander@anthropic.com>

2024-12-11 22:48:15 +00:00

981 B

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MCP Data Generation Server

This server implements the Model Context Protocol (MCP) to provide notional data generation capabilities using Python libraries including Faker, Mimesis, NumPy, and SDV.

Features

Generate synthetic data tables based on specified schemas and parameters
Support for multiple data generation libraries (Faker, Mimesis, SDV)
Configurable row counts and column specifications
Export data in CSV format

Installation

pip install mcp-server-datagen

Usage

The server exposes MCP tools for generating notional data:

generate_tables: Generate multiple related tables based on a schema
define_schema: Define table schemas with column specifications
export_csv: Export generated data to CSV files

Development

Create virtual environment and install dependencies:

uv venv
uv pip install -e ".[dev]"

Run type checking:

uv run --frozen pyright

Build package:

uv build

981 B Raw Blame History