Chat with your monday.com data

AI to analyze monday.com data with Claude and ChatGPT

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No credit card required | 14 days | 10 million records | 30 pipelines

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monday.com
Works in Claude, ChatGPT and any MCP client

AI to analyze monday.com data with Claude and ChatGPT

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.

How to connect monday.com to Claude, ChatGPT and other AI clients

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.

Kondado MCP server: https://mcp.kondado.io/mcp
AI vocabulary

monday.com tables and metrics available via Kondado

Each item below is something Claude, ChatGPT or another MCP client already knows how to query — no schema setup, no manual mapping.

5
Tables
142
Fields
Ad-hoc questions
Board Settings
Includes fields such as board_id, group_id, and workspace_id, allowing management of specific settings for each board.
Board Items
Contains information such as id, name, and updated_at, essential for tracking and managing items within each board.
Items: Conversations (Updates)
Presents fields such as id, item_id, and created_at, allowing tracking of updates and interactions related to each item.
Activity Logs
Records events with fields such as id, created_at, and event, providing a detailed history of activities performed.
Users
Includes fields such as user_id and creator_name, allowing identification and management of users interacting with items and updates.

How to connect and use AI with your data

In 3 steps: connect on Kondado, pick dashboard or chat, analyze.

1
Connect monday.com at app.kondado.com.br

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.

2
Add Kondado MCP in Claude or ChatGPT

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.

3
Ask questions or open reports

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.

Other connectors with AI via MCP

Same Kondado data, in chat through Claude, ChatGPT and other MCP clients.

CRM and Sales

Marketing and Automation

Advertising and Media

E-commerce and Marketplaces

Financial and Payments

Support and Customer Service

Databases

Productivity and Collaboration

Social Media

User Analytics

Storage and Transfer

Frequently asked questions about AI

How ready dashboards and chat via Claude / ChatGPT work together with your data via Kondado.

What specific project questions can I ask Claude or ChatGPT about my monday.com data?
You can ask about task completion trends across specific boards, identify which users have the highest overdue item counts, or compare update activity between workspaces. The AI analyzes your replicated Board Items, Activity Logs, and Users data to return specific counts, percentages, and time-based comparisons in natural language.
How do I configure Claude or ChatGPT to access my monday.com data through Kondado?
In Claude Web or Desktop, or directly in ChatGPT, navigate to the connection settings and add the Kondado MCP server. You will authorize access once via OAuth at app.kondado.com.br, granting the AI read-only access to your replicated pipelines without any CLI commands or JSON configuration.
Can the AI execute actions in monday.com or write data back to my boards?
No, the AI provides read-only analytical chat. You can query, compare, and analyze your project data, but you cannot create tasks, update statuses, or post comments through the AI interface. For workflow actions, use monday.com directly.
How frequently does the data update for AI queries?
Kondado replicates your monday.com data on a configurable schedule that you control. Once updated, the fresh data is immediately available for questioning in Claude, ChatGPT, or other MCP clients, ensuring your answers reflect recent project activities.
What report templates are available for visual monitoring of monday.com data?
Kondado offers ready reports in Power BI and Looker Studio that visualize the same data available for AI chat. These report templates display project health, team workload distribution, and task progression trends for recurring visual monitoring alongside your conversational analysis.
What is the difference between asking the AI about monday.com data and opening a ready report?
The AI chat allows spontaneous, specific questioning using natural language for immediate insights, such as "Which items were updated yesterday?" The ready reports in Power BI and Looker Studio provide fixed visual layouts optimized for recurring monitoring of standard KPIs like completion rates and resource allocation.
Do other MCP clients besides Claude and ChatGPT work with Kondado?
Yes, any MCP-compatible client can connect to Kondado's server. While Claude and ChatGPT are the most popular options for business users, other MCP clients also work, providing flexibility in how you query your monday.com data.
Which specific monday.com data pipelines are available for AI analysis?
Kondado exposes 5 pipelines: Board Settings for workspace configuration, Board Items for task tracking, Items: Conversations for update history, Activity Logs for audit trails, and Users for team identification. Together these 142 fields enable comprehensive project analysis via chat.

Try out all the features for free for 14 days