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monday.com
Connect monday.com to Kondado and start asking Claude, ChatGPT, or any MCP client about your project data using everyday language. You can query sprint completion rates across active boards, identify which teams carry the highest task backlog this quarter, or compare milestone progress between different workspaces without writing a single line of code. The AI reads your replicated data and returns instant insights about approaching deadlines, current resource allocation, and overall workflow efficiency directly in the chat interface.
Kondado replicates monday.com data through an MCP server, enabling Claude, ChatGPT, and other MCP clients to query 5 data pipelines including Board Items, Activity Logs, and User interactions via natural language chat. The same data also powers ready reports in Power BI and Looker Studio.
Project managers benefit by asking about critical path delays and average blocker resolution times, while operations analysts investigate cross-board workload distribution among team members. Marketing coordinators track creative asset approval cycles and feedback velocity, and finance administrators monitor procurement task statuses and vendor onboarding progress. Each role receives specific, data-backed answers that support faster strategic decision-making without requiring technical setup, SQL knowledge, or manual spreadsheet manipulation.
The following pipelines capture every aspect of your monday.com workspace, from individual task details to team-wide activity patterns. Board Items unlocks tracking of task completion velocity and priority distributions across all your projects. Items: Conversations reveals collaboration intensity and update frequency per item, helping you identify which tasks require the most discussion. Activity Logs provides detailed audit trails of who changed what and when, essential for compliance and process review. Users enables team capacity analysis and workload balancing by role or department. Board Settings allows filtering by workspace and ownership structure to segment analysis by business unit.
Joining Board Items with Users shows which team members handle the most high-priority tasks, while linking Activity Logs to Board Items identifies exactly where processes slow down. Data refreshes on a configurable schedule, ensuring your AI chat always references the latest project statuses and recent team activities.
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 monday.com data source on Kondado and select a 'Via Kondado' destination so your data lands ready for AI access and for the Power BI or Looker Studio report 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 is identical in both clients and requires no CLI commands or code.
Start asking natural language questions about your monday.com data in chat. For visual recurring monitoring, open a ready Power BI or Looker Studio report template using 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