Chat with your Jira data

AI to analyze Jira data with Claude and ChatGPT

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

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Jira
You
How many issues are currently stuck in the "In Progress" status across all boards?
Issues
You currently have 156 issues sitting in the In Progress status across all active Jira boards.
Via Kondado MCP
You
Which sprint had the highest completion rate last quarter?
Sprints
Sprint 24 from the Mobile Board achieved a 94% completion rate, making it the top performer in Q3.
Via Kondado MCP
You
What is the average time to resolution for high priority tickets this month?
Resolution Time
High priority issues are resolving in an average of 2.8 days this month, down from 4.1 days last month.
Via Kondado MCP
You
Show me the top 3 projects by number of open issues right now.
Projects
The Website Redesign, API Migration, and Mobile App projects currently have 203, 127, and 94 open issues respectively.
Via Kondado MCP
Works in Claude, ChatGPT and any MCP client

AI to Analyze Jira Data with Claude and ChatGPT

Chat with Claude, ChatGPT, or any other MCP client about your Jira data to uncover insights on sprint velocity, issue resolution bottlenecks, and project status distribution without writing complex JQL queries. Simply ask how many tasks are stuck in specific board columns, compare completion rates across sprints, or identify which projects have the highest backlog accumulation. The AI reads your replicated Jira data and returns actionable answers in natural language, making project tracking accessible to every team member regardless of technical expertise.

Kondado replicates Jira data through 13 pipelines accessible via MCP, enabling conversational analysis in Claude, ChatGPT, and other MCP clients. The same data also powers ready dashboards in Power BI and Looker Studio.

Project managers, Scrum masters, and operations analysts benefit by asking about backlog health, sprint completion rates, and team workload distribution directly in chat. They receive instant answers about issue aging across custom fields, analyze change history to understand workflow delays, and review cross-project resource allocation without navigating complex Jira interfaces. This conversational approach helps agile teams optimize delivery timelines, identify blocked issues through link relationships, and monitor sprint progress using fresh data updated on a configurable schedule.

I prefer ready dashboards

Dashboard templates in Power BI and Looker Studio, connected to your Jira data by Kondado in minutes.

View Jira dashboards →

I want to ask the AI

Claude, ChatGPT and other MCP clients query your Jira data in natural language.

View MCP setup →

The following pipelines deliver comprehensive Jira project management data for conversational analysis. The Issues pipeline tracks task resolution times and current status across all your projects, while the Boards Sprints pipeline unlocks velocity metrics and detailed sprint states for Scrum teams. The Issues Change History pipeline provides complete audit trails of every modification with timestamps, the Projects pipeline offers portfolio-wide visibility into ongoing initiatives, and the Issues Links pipeline reveals critical task dependencies and blocker relationships. You can combine the Issues pipeline with the Boards Issues Relationship pipeline to analyze how tasks distribute across multiple Kanban boards, or join Issues Custom Fields data with the Status pipeline to track progress through custom workflow stages and transitions. Updates occur on a configurable schedule to ensure your AI assistant always references the latest sprint data, fresh issue statuses, and recent activity logs for accurate, timely responses.

How to connect Jira 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
Detailed guide: Claude Detailed guide: ChatGPT
AI vocabulary

Jira 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.

13
Tables
165
Fields
∞
Ad-hoc questions
Boards
Includes fields such as id, name, and type of the board, along with the associated project ID.
Boards Column Configuration
Presents fields such as column name, board ID, and status URL, allowing insight into the board's structure.
Boards Issues Relationship
Shows the relationship between issues and boards with fields such as issue ID and issue key.
Boards Sprints
Includes information about sprints, such as sprint ID, start date, and sprint state.
Issues
Contains fields such as issue ID, key, due date, and current status, enabling task management.
Issues Custom Fields
Allows the inclusion of custom fields for issues, facilitating the customization of information.
Issues Change History
Records changes with fields such as changelog ID, change date, and change author.
Issues Web Links
Includes links related to issues, allowing quick access to external resources.
Issues Activity Logs
Provides activity logs with fields such as issue ID and activity date, useful for auditing.
Issues Links
Presents links between issues, allowing visualization of relationships and dependencies between tasks.
Projects
Includes fields such as id, project name, and project type, enabling effective viewing and management of ongoing projects.
Sprints: relationship with issues
Presents fields such as sprint id, board id, and sprint state, facilitating the tracking of progress for related tasks.
Status
Contains information on id, status name, and description, allowing understanding of the current state of tasks and their lifecycle.
Full docs on the wiki → Connect Jira now →

How to connect and use AI with your data

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

1
Connect Jira data source on Kondado

Connect Jira as a data source at app.kondado.com.br and select a Via Kondado destination so your data lands ready for AI access and for the report templates.

2
Add Kondado MCP server 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, with the same simple setup in both clients and no CLI commands needed.

3
Ask about Jira data in natural language

Start asking questions in chat about your Jira projects and sprints, or open a ready Power BI or Looker Studio dashboard template for visual recurring monitoring.

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

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YouTube YouTube

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MySQL (& MariaDB) MySQL (& MariaDB)
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monday.com monday.com
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Social Media

Instagram Instagram
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User Analytics

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Related on Kondado

Frequently asked questions about AI

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

What kind of project management questions can I ask Claude about my Jira data? ▼
You can ask about sprint velocity trends, average issue resolution times by priority, backlog growth over time, or workload distribution across team members. The AI analyzes your replicated data to answer questions like which projects have the most blocked issues or how many tasks moved to done status this week.
How do I connect ChatGPT to my Jira data through Kondado? ▼
In ChatGPT, navigate to the connection settings and add the Kondado MCP server using the provided URL. You will be redirected to app.kondado.com.br to authorize access via OAuth, granting ChatGPT read-only access to your Jira pipelines without any CLI commands or JSON configuration.
Does the AI assistant write data back to Jira or is it read-only? ▼
The AI connection is read-only for analytical purposes. Claude, ChatGPT, and other MCP clients can query your Jira data to provide insights and answers, but they cannot add new issues, update statuses, or modify any data in your Jira instance.
How often does the Jira data refresh for AI analysis? ▼
Your Jira data replicates on a configurable schedule that you set in Kondado, ensuring the AI assistant references current information. The update frequency determines how recent the sprint metrics, issue statuses, and project data are when you ask questions in chat.
What is the difference between asking the AI in chat and using the ready dashboards? ▼
Chat provides immediate, specific answers to ad-hoc questions using natural language, while ready dashboards in Power BI and Looker Studio offer visual, recurring monitoring with predefined charts and graphs. Use chat for quick investigations and dashboards for ongoing trend visualization.
Which ready dashboard templates are available for Jira data visualization? ▼
Kondado offers report templates in Power BI and Looker Studio that visualize sprint velocity, issue distribution by status, project health metrics, and team workload. These templates connect to the same replicated data used by the AI chat interface.
Can I use other AI assistants besides Claude and ChatGPT with Kondado? ▼
Yes, any MCP client can connect to Kondado's Jira data, including other AI assistants and custom implementations. While Claude and ChatGPT are the most popular options, the open MCP standard ensures compatibility with emerging clients and specialized tools.

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