Connect your AI tool to other real tools you use.
Connectors to tools like Google/Meta Ads, CRM, and 5 data warehouses, allowing you to analyze their data with your AI.
It makes it easier to get useful insights from your data by connecting it to tools that already store and handle your business information.
"A founder of a small e-commerce business wants to measure the return on investment (ROI) of their Google Ads campaigns. They use this skill to connect their Google Ads data to their dbt MetricFlow, allowing them to analyze the ROI and optimize their ad spend. This insight helps the founder reduce their ad expenses by 20% within a week."
When you're starting to build your first data analysis project, but still learning about data connections and tools.
When you want to set up a zero-cost architecture and integrate data sources into your existing workflow.
This skill is focused on connecting data sources, not building new AI models.
Full-Funnel AI Marketing Analytics. A modern data stack powered by dbt MetricFlow and MCP. Natural language insights across Google/Meta Ads, CRM, and 5 data warehouses. Includes XGBoost lead scoring and a $0/mo architecture.
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More mcp-server tools founders pair with this one.