The Guide for How to SUCCESSFULLY Integrate Claude & Claude Code in Your Team's Jira Ticket Workflow
Автор: Kyle Chalmers | Data + AI
Загружено: 2025-11-07
Просмотров: 167
Enabling Claude Code to fully take a Jira ticket from start to finish has helped me demonstrate its incredible value to the business. AI’s ability to leverage its technical capabilities and connection to your data warehouse (see ) is taken to the next level once you can begin having it work on requests that are valuable to your stakeholders.
You can enable the large language model where it can read the ticket, research context, write and run the queries, store the output, and summarize the output. This is the actual process that I use today for how I am able to hand off real ticket-based work to Claude.
In this video, I’ll show you exactly how to build that workflow yourself including:
1. How to connect Atlassian (Jira) to Claude Desktop
2. How to use the Atlassian CLI + Atlassian MCP
3. How to enable Claude to operate as a scalable “AI teammate” inside your day-to-day ticketing system
I’ve linked everything you need below so you can copy this setup for yourself or roll it out across your entire team.
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Atlassian CLI vs. MCP Comparison: https://github.com/kyle-chalmers/data...
My Atlassian CLI Installation Guide: https://github.com/kyle-chalmers/data...
My Atlassian MCP Installation Guide: https://github.com/kyle-chalmers/data...
Template for Ticket Taking Repository Structure: https://github.com/kyle-chalmers/data...
Claude Code Atlassian MCP Documentation: https://code.claude.com/docs/en/mcp
Official Atlassian CLI Install Guide: https://developer.atlassian.com/cloud...
Intro Slides: https://docs.google.com/presentation/...
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00:00 - Intro
00:38 - What You’ll Learn and the Value Story
03:02 - Connecting Atlassian and Claude Desktop
06:22 - Atlassian CLI vs. MCP Comparison
07:31 - Atlassian MCP Configuration for Claude Code
10:29 - Atlassian CLI Configuration for Claude Code
14:08 - Using Claude Code to Complete Jira Data Analysis Tickets
19:18 - Claude Code Output Quality Review and Troubleshooting
22:10 - Wrapping Up the Tickets and Committing to the Repo
25:35 - Recap and Outro
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👋 I’m Kyle Chalmers and after 8+ years leading data teams, I’m here to make AI approachable for all data professionals and enthusiasts. Subscribe for weekly/bi-weekly insights, demos, and lessons on the future of data work.
Connect with me on LinkedIn: / kylechalmers
I plan on introducing more content in my Substack publication in the future as well: https://substack.com/@kylechalmers1
#ClaudeCode #Jira #Atlassian #AIWorkflows #DataEngineering #LLMAutomation #Claude #Automation #ProductivityHacks #DataAnalytics #jiratips #snowflake
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