--- title: "Jira Integration for Rig: Query Jira Data in Plain English" description: "Connect Jira to Rig and query your Jira data in plain English, or ask it in Claude, ChatGPT and Cursor. Governed, validated answers from your warehouse." canonical: "https://rig.so/integrations/jira" format: markdown --- Browse integrations ![Jira logo](https://img.logo.dev/atlassian.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=112&format=png&retina=true) Engineering & product ops Supported # Jira integration for Rig ## The easiest way to connect Jira to Claude and other AI tools Jira is Atlassian's issue and project tracker, where teams manage issues, sprints, boards and agile workflows across software and operations. [Try Rig](https://app.rig.so/signup)[Book a demo](https://rig.so/book-demo) ## What Rig syncs from Jira Once connected, Rig models these objects so questions resolve to the right tables and joins: - Issues - Issue changelog - Sprints - Projects - Boards - Statuses - Story points - Worklogs - Components ## How Jira connects to Rig Rig Ingest syncs your Jira issues, sprints and issue changelog into your warehouse on a schedule, tracking every status transition. Rig then models sprints and story points so velocity and cycle time questions resolve correctly. ## Measure cycle time and lead time per issue Cycle time is the time an issue spends in active work, and lead time is from creation to done. Rig reads the Jira issue changelog and status transitions, so you can see how long issues take, where they sit in each status, and how that trends across sprints. Ask Rig - What was median cycle time by issue type last sprint? - Which status do issues sit in longest on average? - Show lead time trend over the last six sprints ## Track sprint velocity and commitment reliability Rig joins Jira story points to sprint outcomes, so you can see how many points a team completes per sprint and how often they hit their commitment. That makes sprint planning grounded in delivered velocity rather than guesses. Ask Rig - What is average sprint velocity by team over the last quarter? - How often does each team complete its committed sprint scope? - How many story points carried over between sprints? ## Monitor backlog health and aging issues By reading Jira statuses, components and timestamps, Rig shows how the backlog is growing, which issues are stale, and how triage keeps pace with incoming work. Product owners use it to keep the backlog from rotting. Ask Rig - How many open issues are in the backlog by project and component? - Which issues have not been updated in 60 days? - Is the open issue count growing or shrinking month over month? ## Analyse bug trends and contributor workload Rig groups Jira issues by type, component and assignee over time, so you can track bug inflow versus resolution and see how work is distributed. That surfaces overloaded contributors and components that keep breaking. Ask Rig - How many bugs were opened versus resolved last month? - Which components generate the most defects? - Show open issue count by assignee right now ## Ask your Jira data in Claude, ChatGPT or Cursor Rig serves your Jira data to AI assistants over MCP. Once Jira is synced into your warehouse, you can ask questions in plain English from the tool you already use, and every answer is backed by validated, governed SQL. - [Claude](https://rig.so/integrations/claude) - [Claude Code](https://rig.so/integrations/claude-code) - [Cursor](https://rig.so/integrations/cursor) - [ChatGPT](https://rig.so/integrations/chatgpt) - [Codex](https://rig.so/integrations/codex) - [Gemini](https://rig.so/integrations/gemini) ## Frequently asked questions What Jira data does Rig sync? Issues, the issue changelog, Sprints, Projects, Boards, Statuses, Story points, Worklogs and Components, including every status transition over time. Can Rig measure sprint velocity and cycle time from Jira? Yes. Rig models sprints, story points and the issue changelog, so velocity, cycle time and lead time questions are answered in plain English. Can I query Jira data in Claude or ChatGPT? Yes. Once Jira is synced to your warehouse, Rig serves it to Claude, ChatGPT, Cursor and other AI tools over MCP. How often does Jira data refresh? Rig Ingest syncs on a schedule you set and tracks issue status transitions so new activity appears automatically. ## Related integrations [![Asana logo](https://img.logo.dev/asana.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)AsanaTask throughput, cycle time and project health analytics from your Asana workspace.](https://rig.so/integrations/asana)[![GitHub logo](https://img.logo.dev/github.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)GitHubCycle time, review load and contributor analytics from your GitHub repos.](https://rig.so/integrations/github)[![Linear logo](https://img.logo.dev/linear.app?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)LinearCycle velocity, issue throughput and estimate accuracy from your Linear workspace.](https://rig.so/integrations/linear)[![monday.com logo](https://img.logo.dev/monday.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)monday.comItem throughput, status flow and board health analytics from your monday.com boards.](https://rig.so/integrations/monday)[![Notion logo](https://img.logo.dev/notion.so?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)NotionTurn your Notion databases into queryable operational data for roadmaps, content and tasks.](https://rig.so/integrations/notion)[![Sentry logo](https://img.logo.dev/sentry.io?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)SentryError frequency, release health and incident trend analytics from your Sentry data.](https://rig.so/integrations/sentry) ## Connect Jira data to AI tools like Claude Rig builds a governed context layer over your data so every team, and every AI tool, asks questions and gets answers they can trust. [Try Rig](https://app.rig.so/signup)[Book a demo](https://rig.so/book-demo) --- - [This page as HTML](https://rig.so/integrations/jira) - [Site map for language models](https://rig.so/llms.txt) - [API and agent documentation](https://rig.so/developers)