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Send Jira data to AI, reports, spreadsheets and ETL

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Jira

Productivity and Collaboration

Jira is an agile project management platform that tracks software development workflows through boards, sprints, and issues. With Kondado, you can extract detailed project data through the Jira API without writing code, including board configurations, issue histories, sprint progress, and custom field values. Replicate information about task ownership, due dates, status transitions, and time tracking to build comprehensive Jira analytics outside the native interface.

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Kondado’s Jira data source offers 13 distinct pipelines containing 165 total fields, covering everything from board structures and column configurations to issue relationships, change histories, and sprint states.

Development teams use this data to track velocity trends and identify bottlenecks in their workflows. Operations managers analyze project distribution across teams and monitor SLA compliance through status change histories. Data analysts combine Jira data with other business metrics in Power BI or BigQuery to correlate development output with business outcomes, while marketing teams track campaign-related development tasks through custom field analysis.

The Kondado platform takes care of refreshing Jira data, allowing you to stop wasting time with manual work and complex workflows, and focus on analyzing Jira data with AI (Claude, ChatGPT and MCP) or in your report, spreadsheet, data warehouse, data lake, or database

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Available Jira Data Pipelines

The following pipelines capture every aspect of your agile project management data:

Access the Issues pipeline to track task completion rates and due date compliance, or analyze the Boards Sprints pipeline to monitor sprint velocity and completion states. The Issues Change History pipeline reveals exactly when status transitions occurred and who authorized them, while Boards Issues Relationship maps dependencies between tasks across different projects. Project managers leverage the Projects pipeline to maintain visibility across multiple initiatives, and the Issues Activity Logs pipeline provides detailed audit trails for compliance reporting.

By joining the Sprints pipeline with Issues data, you can calculate story point completion rates per iteration, while combining Status information with Issues Change History helps identify which workflow stages cause the most delays. With automated updates on a configurable schedule ranging from every 5 minutes to daily, your KPI dashboards always reflect current sprint progress and backlog health without manual refreshing.

Connector schema

Available Jira data

available pipelines

165

extractable fields

Available integrations

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.

See all available data → Use this connector in chat (AI + MCP) →

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How to visualize Jira data in 3 steps

Connect Jira to AI (Claude/ChatGPT via MCP), dashboards, spreadsheets, or databases — no code required.

Add Jira as your data source

Log into Kondado and select Jira from our catalog of 80+ sources, then authenticate with your Jira credentials to establish the initial connection.

Select pipelines and destination

Choose from 13 available pipelines such as Issues, Sprints, and Projects, then decide where to send your data, whether to Power BI, Google Sheets, BigQuery, or PostgreSQL.

Visualize and analyze your data

Build custom dashboards in Looker Studio or Power BI, create pivot tables in Google Sheets or Excel, or query raw tables in PostgreSQL, BigQuery, MySQL, Redshift, or SQL Server to uncover insights about development velocity and project health.

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Hundreds of data-driven companies trust Kondado

Why Kondado?

Focus on extracting value from your data and leave the rest to us

Wherever you need

With the same platform, you send data to AI (Claude/ChatGPT via MCP), reports, spreadsheets, databases, data warehouses, and data lakes. ETL and ELT

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From wherever you need

Data from over 80 sources for Marketing, Ecommerce, ERPs, Customer Service, Finance, Databases, and much more

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Predictable pricing

No surprise invoices, pick a plan and change it anytime

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Pick an AI, Spreadsheet, Database, Data Warehouse or Data Lake to use Jira data

Jira > AI (Claude, ChatGPT, MCP)

Jira > Looker Studio

Jira > Power BI

Other visualizations

Jira > Amazon S3

Jira > BigQuery

Jira > Excel

Jira > Google Sheets

Jira > MySQL

Jira > PostgreSQL

Jira > Redshift

Jira > SQL Server

Choose a tool to visualize your Jira data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Jira > Airtable

Jira > Alteryx

Jira > Amazon Quicksight

Jira > BIMachine

Jira > Cortex

Jira > Data Studio

Jira > Geckoboard

Jira > Grafana

Jira > IBM Cognos Analytics

Jira > Klipfolio

Jira > Looker Studio

Jira > Looker

Jira > Looqbox

Jira > Metabase

Jira > Microstrategy

Jira > Pentaho

Jira > Power BI

Jira > Qlik Cloud Analytics

Jira > Qlik Sense

Jira > Qlik

Jira > QlikView

Jira > Redash

Jira > Superset

Jira > Tableau

Jira > BI TOTVS

Jira > Zoho Analytics

Frequently Asked Questions (FAQ)

Find answers to common questions about connecting Jira to AI (Claude/ChatGPT via MCP), dashboards, spreadsheets, and databases

What specific Jira data can I extract using Kondado? ▼

You can replicate 13 distinct data pipelines including Issues with their custom fields and due dates, Boards with column configurations, Sprints with start dates and states, Projects with metadata, and detailed change histories showing who modified what and when. This covers task management data, workflow transitions, and project structure information.

How do I connect Jira to Power BI or Google Sheets without coding? ▼

After adding Jira as a data source in Kondado, select the specific pipelines you need, such as Issues and Sprints, then choose your destination. You can send data directly to Power BI for dashboard creation, Google Sheets for spreadsheet analysis, or databases like PostgreSQL and BigQuery for advanced analytics.

How often does Jira data update in my reports and dashboards? ▼

Kondado updates your Jira data on a configurable schedule that you control, ranging from every 5 minutes for near-real-time sprint monitoring to daily updates for retrospective analysis. This keeps your velocity charts and burndown reports current without manual exports.

Can I analyze Jira sprint velocity and board performance metrics? ▼

Yes, by replicating the Boards Sprints and Issues pipelines, you can calculate velocity trends, track completion rates across iterations, and analyze board column configurations to identify bottlenecks in your Kanban or Scrum workflows.

Do I need to log into Jira to set up the data replication? ▼

Yes, during setup you will authenticate with your Jira credentials to allow Kondado to access your project data. This establishes a direct connection that replicates your boards, issues, and sprints through the Jira API without requiring technical configuration.

Is it possible to track issue changes and audit trails for compliance? ▼

Absolutely. The Issues Change History pipeline captures every status transition, field modification, and assignment change with timestamps and author information, while Issues Activity Logs provide detailed audit trails for compliance and process improvement analysis.

What BI tools and databases work with Jira data from Kondado? ▼

Kondado sends Jira data to Power BI, Looker Studio, Google Sheets, BigQuery, and PostgreSQL, plus MySQL, Excel, Redshift, SQL Server, and Amazon S3. This flexibility lets you build Jira analytics in your preferred environment.

Related on Kondado

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