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ActiveCampaign
Ask Claude, ChatGPT, or any MCP client about your ActiveCampaign data using natural language chat. Marketing teams can inquire about campaign performance trends and email engagement metrics, sales managers can check deal pipeline status and forecast accuracy, and operations analysts can segment contacts by custom field values or tag activity without writing SQL or navigating complex CRM interfaces. Simply type your question and receive direct insights based on your replicated data.
Kondado replicates ActiveCampaign data through an MCP server, enabling analysis via Claude, ChatGPT, and other compatible clients across 29 data pipelines including Deals, Contacts, Campaigns, and Pipelines. The same data also powers ready reports in Power BI and Looker Studio for visual monitoring.
Marketing analysts, sales operations managers, and CRM administrators benefit from instant answers to strategic business questions without technical expertise. They can ask about conversion rates between pipeline stages, compare engagement scores across different contact segments, analyze which accounts generated the most revenue last quarter, or review task completion rates for high-value deals. This conversational approach eliminates the need for manual spreadsheet exports or waiting for BI team reports, putting ActiveCampaign insights directly into business workflows through simple chat interactions.
The following pipelines contain your ActiveCampaign data ready for AI analysis. Query the Deals pipeline to analyze deal values and stage progression across your sales process, explore the Contacts pipeline with its custom fields metadata to understand segmentation criteria and tagging structures, examine Campaigns and Messages pipelines to assess content performance and engagement patterns, and review the Pipelines table to visualize sales stage distribution and bottlenecks. The Accounts pipeline paired with Contacts: Notes reveals relationship context for B2B sales teams, while List Contacts data shows precise audience growth patterns and subscription sources. Combining Contacts with Deals and Campaigns enables comprehensive cross-analysis of customer journeys from initial list subscription through deal closure to ongoing campaign engagement history. Data updates on a configurable schedule, ensuring your chat queries reflect current pipeline status and recent contact activities rather than outdated snapshots.
MCP is an open standard. Add the Kondado server to the connections of Claude (Web or Desktop), ChatGPT, or any other MCP client you use, and authorize via OAuth at app.kondado.com.br. Setup through the UI, no code.
Each item below is something Claude, ChatGPT or another MCP client already knows how to query — no schema setup, no manual mapping.
In 3 steps: connect on Kondado, pick dashboard or chat, analyze.
Connect your ActiveCampaign data source at app.kondado.com.br and select a Via Kondado destination so your data lands ready for AI access and for the Power BI and Looker Studio dashboard templates.
In Claude (Web or Desktop) or ChatGPT, add the Kondado MCP server in the connection settings and authorize once via OAuth at app.kondado.com.br. The setup process is identical in both clients and requires no command line tools or coding.
Ask questions in natural language about your ActiveCampaign data through chat, or for visual recurring monitoring, open a ready Power BI or Looker Studio dashboard template connected to the same replicated data.
Same Kondado data, in chat through Claude, ChatGPT and other MCP clients.
How ready dashboards and chat via Claude / ChatGPT work together with your data via Kondado.
Try out all the features for free for 14 days