Atlassian and Gamma are now deeply connected, so your work, and the context behind it, moves with you from plan to presentation.
AI is supposed to understand your work. But it can only see what it can reach, and right now, your work is scattered. Updates live in slide decks, details hide in Jira tickets, decisions are buried in Confluence. We expect AI to “just know” how it all connects, then wonder why the output feels generic.
That’s what the Atlassian Teamwork Graph fixes. It connects the issues, pages, and decisions across your Atlassian apps into a single trusted context layer—the whole story, not scattered pieces. As Philip Braddock, Head of Atlassian for Startups, puts it: “Rovo is all of that rich context: your projects, policies, documentation, customer support tickets. Gamma is what helps that content get packaged up cleanly, so it can travel within your organization and outside of it.” With the Atlassian MCP Server, that context doesn’t stay locked inside Atlassian tools; it goes with you into the places where teams actually shape the narrative.
Gamma is one of those places. With Gamma, describe what you need and the presentation structure and design are handled. A pitch deck, a website, a project update just describe what you need and Gamma handles the design.
With the Atlassian MCP Server, Gamma pulls live Jira and Confluence context on demand. Your team goes from accepted plan to finished presentation without switching tools or losing momentum.
Build Decks, File Issues, and Draft Confluence Pages from Gamma with Atlassian MCP Server
With the Atlassian MCP Server, all of that context is a prompt away inside Gamma. Here’s what that looks like in practice.
Build a project update deck in minutes: Reference a Jira epic and Confluence page in Gamma and ask for a project update deck. The agent retrieves live issue summaries, status, and risks, builds a slide outline with talking points already filled in, and proposes follow-ups as Jira sub-tasks. What used to take an afternoon of copy-pasting takes a few minutes, and the deck stays tied to the actual state of the work.
File a Jira issue without leaving your draft: Spot a gap or out-of-scope item mid-draft? Tag the section, add a quick note, and ask the agent to create a Jira issue on the spot—dropped into the right project with a clear summary and acceptance criteria pulled from the surrounding context. So nothing needs to wait on a “we’ll ticket it later.”
Turn an outline into a Confluence page: Take a finished Gamma outline and ask the agent to assemble a first-draft Confluence page, complete with linked Jira issues and relevant context already pulled in. Feedback tasks get created as Jira sub-tasks so review ownership is clear from the start. Structure, context, and next steps, before you’d normally even open a new tab.
Pull Gamma Presentations into Confluence with Confluence Remix
Confluence Remix lets you pull Gamma content directly into a Confluence page and reshape it without the copy-paste friction. Turn a presentation into a reference doc, a narrative into a team wiki, or a visual story into something searchable and linkable. The result is a Confluence page that shows the thinking that went into it.
Use the Gamma Agent in Jira to Draft Decks from Any Issue
“My biggest presentation pet peeve? The white background slide with 40 bullet points on it. Somebody’s just standing there reading to you and it’s like—I’m falling asleep.” That’s Byron Jones, Head of Platform at Gamma, naming the slide nobody should ever have to sit through again.
You’re 30 minutes from a leadership sync and the executive team wants a deck, not a Jira board. So you do the usual: copy the status into a doc, open a presentation tool, fight with formatting, hope you didn’t miss a blocker. Twenty minutes gone. With the Gamma agent in Jira, you skip all of it. Invoke it from the work item and it drafts a polished visual summary, launch brief, or status update—whatever the moment needs, straight from the context in your work item. One prompt, still in Jira.
What Gamma and Atlassian MCP Mean for Your Team
The practical change is simple: your AI tools stop guessing at context, because it’s already structured and trusted in Jira and Confluence, and connected by the Atlassian Teamwork Graph. The Atlassian MCP Server is the open, standardized connection that carries that context into Gamma and beyond.
Atlassian holds the story together. Gamma helps teams tell it. Or as Philip Braddock, Head of Atlassian for Startups, sums it up: “If you’re not yet using both of these tools, the real power is the better-together story here.”
Hear It from the Team
We recently put Byron Jones (Gamma) and Philip Braddock (Atlassian) through a rapid-fire round of hot takes on AI, go-to-market, and the worst slides they’ve ever sat through. It’s a quick, unscripted look at why the two teams think this partnership works—and what they’d never hand off to AI.
A favorite exchange: when asked what they’d never use AI for, Byron said he’d never let it “substitute for taste,” and Philip added he’d never let AI “go skiing for me”—the stuff that’s only ever present in the physical world. As AI workflows keep expanding, they agreed, that touch-grass time only gets more precious.
Get started with the Atlassian MCP Server
Atlassian recently released v2 of Atlassian Rovo MCP, introducing more tools and products which you can now interact with from your agents. Need help upgrading from v1? How to upgrade from Atlassian Rovo MCP v1 to Atlassian Rovo MCP v2
