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Linkedin
Imagine asking Claude, ChatGPT, or any other MCP client about your LinkedIn advertising performance using natural language. You can inquire about lead quality trends across active campaigns, compare cost per conversion between different ad account segments, or check the current engagement status of your sponsored content without writing complex SQL queries or navigating multiple interfaces. This conversational approach to analytics transforms how marketing teams interact with professional network data, making sophisticated advertising metrics accessible through simple chat interactions that deliver immediate, actionable insights for strategic decision-making.
Kondado replicates LinkedIn data through 9 pipelines for analysis via MCP with Claude and ChatGPT. The same data powers ready dashboards in Power BI and Looker Studio.
Marketing analysts benefit by tracking conversion rates and budget allocation through intuitive questions about campaign metadata, while e-commerce managers evaluate lead generation ROI and creative performance without technical assistance or spreadsheet manipulation. Operations teams monitor account statuses and approval workflows for advertising assets, and finance professionals reconcile advertising spend against conversion values using straightforward conversational queries. This seamless access to LinkedIn data empowers business users across departments to extract value from their professional advertising investments through natural dialogue with AI assistants.
The nine available pipelines unlock detailed insights when queried through your AI assistant. Ad Statistics reveals impression volume and click-through trends over custom date ranges, while Conversion Statistics tracks cost per acquisition and conversion rates essential for precise ROI analysis. Campaign Metadata exposes budget allocation strategies and delivery objectives, Creative Metadata details format specifications and current approval statuses, and Organization Posts data uncovers engagement patterns and reach metrics across your company content.
Cross-referencing Ad Accounts with Conversion Information allows you to correlate advertising spend with generated revenue values, while combining Campaign Group Metadata with Ad Statistics enables comprehensive performance benchmarking across different organizational units and cost structures. This multi-dimensional analysis capability supports sophisticated business questioning through simple chat interactions that would traditionally require complex data engineering.
Automated updates on a configurable schedule ensure your chat responses consistently reflect current campaign performance metrics and recent organizational page follower interactions, maintaining data freshness for timely strategic decision-making without manual refresh requirements or technical intervention.
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.
Log into app.kondado.com.br to set up your LinkedIn data source and select 'Via Kondado' as your destination, preparing data for AI queries and dashboard templates.
Open the connection settings in Claude (Web or Desktop) or ChatGPT, add the Kondado MCP server, and complete the OAuth authorization at app.kondado.com.br.
Ask natural language questions about your LinkedIn campaigns in chat, or open a ready Power BI or Looker Studio template for visual recurring monitoring.
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