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Data governance

Composable analytics

Use the Snowplow CLI MCP tool

Use the Snowplow CLI MCP tool with Claude or other MCP clients for streamlined data structure management.

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1

Introduction

2

Install the Snowplow CLI

3

Create and publish a data structure

4

Next steps

6

Conclusion

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 tracking plans 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 tracking plans 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

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