Create and publish a data product using the Snowplow CLI MCP tool

This page shows a typical interaction pattern. In this example, the AI assistant is helping build a new data product, with new data structures and source application.

Import Snowplow context

Always ensure get_context is called at the start of your conversation. If you don't see it happen, then ask for it.

Example prompt:

txt

Please call get_context before we start working.

The assistant will retrieve the built-in schemas and rules that define how Snowplow components should be structured.

Create a new data structure

Example prompt:

txt

Create a data structure for tracking when users view a product page.

Include properties for product ID, product name, category, and price.

The assistant will:

• Generate a proper UUID for the data structure
• Create a valid event schema following Snowplow conventions
• Save the file locally to the appropriate location
• Automatically validate the created structure and report any issues

You can iterate if needed. Example prompt:

txt

The price should be optional, not required.

Also add a description field.

The assistant will modify the structure, and validate again.

Create a new data product

Example prompt:

txt

Create a data product for ecommerce product interactions. Include:
- The existing product page views that you just made
- Add to cart events
- A source application for our website
- Proper validation of all components

The assistant will:

• Create the necessary additional data structures for events
• Create a source application definition
• Create a data product linking everything together
• Validate and cross-reference all the components together

Publish to Console

All files are created locally. When you're ready to publish to Console, use the standard Snowplow CLI commands:

bash

snowplow-cli data-structures publish
snowplow-cli data-products publish