What if Claude, Gemini, or ChatGPT could find your Jira work, read your Confluence knowledge, summarize project status, and turn a conversation into real tasks—without switching tabs or copying information between systems? In this beginner-friendly live session, you will learn what Atlassian Rovo MCP is, how to connect your preferred AI assistant, and how to move safely from asking questions to taking action.
By the end of the session, attendees will understand:
What Model Context Protocol means in plain language
What the Atlassian Rovo MCP Server connects
How MCP differs from simply pasting Jira information into an AI chat
How to connect Atlassian with Claude
How to connect Atlassian with ChatGPT
The two available Gemini paths: Gemini CLI with MCP and Gemini Enterprise with A2A
How to search Jira and Confluence from an external AI assistant
How to turn meeting notes into proposed Jira work
How to control and review write actions
How Atlassian permissions and administrative controls continue to apply
How to troubleshoot the most common connection problems
The Atlassian Rovo MCP Server is a cloud-hosted bridge that lets compatible AI clients search, read, create, and update information across supported Atlassian Cloud products. The server currently supports capabilities across Jira, Confluence, Compass, Jira Service Management, Bitbucket, Rovo Search, and Teamwork Graph, with availability depending on the authentication method and administrative configuration.
This course is instructed by Alex Ortiz of Apetech Tutorials.
Follow Alex on social media for more educational Atlassian content:
APETECH LLC
Co-Founder
