Generate realistic, foreign-key-consistent synthetic test data for databases.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "SeedBase Test Data" MCP server from askskill: Run: claude mcp add 'io-github-marcelglaeser-seedbase' -- npx -y @seedbase/client
Generate synthetic test data for an ecommerce database with users, orders, order_items, and products tables. Keep foreign keys consistent, make distributions realistic, and create 1,000 records for each table.
Returns database-ready test data with correct relationships across tables for local development and integration testing.
Create test data for a SaaS product with accounts, users, subscriptions, and events tables. Simulate different plans, activity levels, and time distributions while preserving foreign key integrity.
Outputs multi-table synthetic data with realistic business patterns for analytics queries and feature testing.
Generate a batch of anonymized yet realistic test data from the existing database schema for staging validation. Cover common edge cases and keep references correct across tables.
Produces a staging-ready dataset that balances realism, privacy safety, and relational consistency.
Generate high-quality synthetic data from scratch or seed datasets.
Generate structured mock data for testing, demos, and analysis validation.
Generate multi-table synthetic data matching exact revenue curves and fraud rates.
Generate test data, propose schemas, and list field types via MCP.
Safely copy Salesforce records into sandboxes with dependency-aware remapping.
Generate sample Dataverse records for testing and demoing a Power Pages site.