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Notion
Ask Claude, ChatGPT or any MCP client about your Notion databases in natural language. Query project completion rates across workspaces, compare task status distributions between teams, or calculate average time from creation to completion for any database record. The AI reads your current Notion data and returns instant insights without manual exports or spreadsheet formulas.
Kondado replicates Notion data through 4 distinct pipelines available via our MCP server, enabling direct analytical chat with Claude, ChatGPT, and other MCP clients. The same datasets that power your AI conversations also feed ready dashboards in Power BI and Looker Studio, giving you both conversational exploration and visual monitoring from one central data foundation.
Marketing analysts track campaign planning databases to identify bottlenecks in content calendars, while operations managers monitor project status across multiple Notion workspaces to allocate resources efficiently. Finance teams query budget tracking databases to compare quarterly spending against forecasts, and HR leaders analyze employee onboarding checklists to measure completion rates. Every department gets answers by simply typing questions in chat, turning static Notion pages into interactive business intelligence.
The data structure below reveals exactly which Notion entities you can query through conversational AI. Ask about the Database Records pipeline to analyze project names, assignee emails, and creation timestamps across your workspaces. Query the Database Records: Blocks pipeline to understand content types and document structures within specific pages. Explore the Database Records: Blocks: Comments pipeline to measure team engagement through feedback volume and author participation patterns. Investigate the Database Records: Comments pipeline to track discussion threads and collaboration intensity on critical documents. Cross-reference comment timestamps with record creation dates to calculate response times, or join block content types with database statuses to identify which document formats correlate with faster project completion. With automated updates on a configurable schedule, your AI assistant always references the freshest Notion activity when answering questions about current workspace performance.
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.
Select Notion as your data source and choose a 'Via Kondado' destination so your data lands ready for both AI chat access and the Power BI or 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, with identical setup in both clients and no CLI commands needed.
Ask questions in natural language about your Notion databases, and for ongoing visual tracking of workspace metrics, open a ready Power BI or Looker Studio dashboard template.
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