Learn how to set up the Snowplow CLI MCP tool

The Snowplow CLI MCP (Model Context Protocol) tool integrates Snowplow's data structure management capabilities directly into AI assistants. This enables natural language interaction for creating, validating, and managing your Snowplow tracking plans locally.

The MCP integration enables you to work more efficiently by letting AI assistants handle the technical details of schema creation, validation, and cross-referencing while you focus on your tracking requirements and business logic.

What you'll learn

• How to set up the Snowplow CLI MCP tool with AI assistants like Claude Desktop, Cursor, or Copilot
• Creating and validating data structures through conversation
• AI-powered analysis for strategic tracking plan development

Demo: using the Snowplow CLI MCP with Claude Desktop

Prerequisites

• Snowplow CLI installed and configured.
• Claude Desktop or another MCP-compatible client such as Cursor or Copilot.
• Filesystem access: if using Claude Desktop, you must run alongside an MCP filesystem server (e.g., @modelcontextprotocol/server-filesystem) to enable file operations. Other MCP clients (Cursor, Copilot, etc.) have filesystem access by default.