Coupler.io
MCP server connecting 70+ marketing data sources as queryable databases
Overview
Coupler.io MCP Server connects your marketing and sales data flows to AI assistants like Claude. Import data from Google Analytics, Search Console, Google Ads, HubSpot, Salesforce, and 70+ other sources, then query everything through natural language as SQLite databases.
Key differentiator: Coupler.io provides unified data access across your entire marketing stack. Instead of switching between platforms or building custom ETL pipelines, ask Claude questions that span multiple data sources—"Compare our Google Ads CPA with organic conversion rates from GA4."
With automated syncing and easy Docker/Replit deployment, Coupler.io bridges the gap between scattered marketing data and AI-powered analysis. Perfect for teams drowning in dashboards who want answers, not more reports.
Key Features
Use Cases
Marketing Analytics
- Cross-channel performance dashboards via natural language
- Attribution analysis spanning ads, organic, and email
- Campaign ROI calculations across platforms
- Audience overlap analysis between channels
SEO Performance
- GSC + GA4 combined analysis for content performance
- Keyword-to-conversion tracking across the funnel
- Landing page performance with traffic source breakdown
- Content ROI analysis with engagement and conversion data
Sales & Marketing Alignment
- Lead source analysis combining CRM and marketing data
- Pipeline velocity metrics from HubSpot/Salesforce
- Marketing-attributed revenue reporting
- Customer journey analysis across touchpoints
Executive Reporting
- Natural language business intelligence queries
- Automated weekly/monthly performance summaries
- Competitive metrics aggregation
- Board-ready insights without dashboard navigation
Considerations
- Free tier limited to 1 importer and 100 rows/month—quickly outgrown
- Data freshness depends on sync schedules; not real-time
- Setup complexity increases with number of data sources
- No built-in strategic alignment—queries data without organizational context
- Requires understanding of data schemas for effective queries
- Privacy considerations when connecting sensitive marketing data
