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Generate structured mock data for testing, demos, and analysis validation.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Mockdata" MCP server from askskill: Run: claude mcp add --transport http 'io-github-pipeworx-io-mockdata' 'https://gateway.pipeworx.io/mockdata/mcp'
Generate 100 mock user records with the fields user_id, name, email, signup_date, country, and is_active. Output a JSON array with realistic, non-duplicated data.
A JSON dataset with 100 user records ready for development or testing.
Generate 50 mock e-commerce order records including order_id, customer_name, product_name, quantity, price, order_status, and order_date. Output in CSV format.
A CSV sample dataset of orders that can be imported into spreadsheets or databases.
Generate mock data for a SaaS dashboard demo, including daily active users, revenue, churned users, and new signups for the last 30 days, with realistic trend fluctuations.
A time-series mock dataset suitable for product prototypes or demo dashboards.
Generate realistic synthetic data for databases, mock APIs, and testing workflows.
Generate test data, propose schemas, and list field types via MCP.
Simulate dynamic actions for any query with persistent state across sessions.
Run a lightweight local MCP mock server for predictable testing.
Retrieve mock manufacturing datasets across procurement, production, quality, warehouse, and finance.
Interact with JSONPlaceholder fake REST APIs for CRUD testing and prototyping.