Conclusion

You've successfully set up the Snowplow CLI MCP tool and learned how to use AI assistants to manage your Snowplow data structures and data products through natural conversation.

In this tutorial, you:

• Installed and configured the Snowplow CLI with an MCP-compatible AI assistant
• Learned how to create and validate data structures using natural language prompts
• Built complete data products including events, entities, and source applications
• Published your locally created structures to Snowplow Console

Next steps#

• Read the Snowplow CLI documentation for further workflows and commands
• Follow the Snowplow CLI Git tutorial to manage your tracking plans with Git version control
• Check out our tracking design best practise guide