Atlassian opens Teamwork Graph to third-party AI tools
Atlassian is opening its Teamwork Graph to external AI agents and tools, letting third-party systems access 150 billion connections across people, work, goals, code and content stored in Atlassian software and connected applications.
The move signals a shift in how Atlassian wants its AI products used. Rather than confining its Rovo assistant to Atlassian's own ecosystem, the company is positioning the underlying data layer as shared organizational context for a wider range of AI clients, coding tools and workflow software.
External systems can search, reason and take action within the graph while remaining subject to existing permissions and administrative controls.
How third-party tools gain access
Atlassian is opening two new routes into the Teamwork Graph. An MCP server in open beta will allow Model Context Protocol-compatible clients-including Figma and Replit-to access information through a standard interface.
A command-line interface, also in open beta, targets software developers. Coding agents including Anthropic's Claude and OpenAI's Codex will draw on graph data directly within development environments. Administrators retain control over access scopes and permissions.
The approach reflects a broader competition among software companies over where business context will sit as AI agents become more common in office work and software development.
Product updates across the suite
Atlassian introduced a broader set of AI-related updates intended to move Rovo from an assistant that responds to prompts toward software agents that can be assigned work or complete multi-step processes.
Rovo Studio, now generally available, gives users a central workspace to create agents, automations and custom applications using natural language. Governance features are built in-a requirement for larger customers that need to control how AI tools interact with internal systems and data.
In Jira, agents are now generally available. Teams can assign tasks to them, mention them in comments and place them inside workflows and automations. This gives AI tools a more explicit operational role in project tracking and execution.
Confluence is getting a beta feature called Remix with Rovo, which lets users turn blocks of content into charts, databases and infographics without leaving the page. A slides feature for Confluence is due in beta later.
For product and engineering teams
The DX AI Experience is now generally available for software teams. The feature helps engineering organizations track where AI is generating code, assess how agents are performing and measure return on investment from AI use in the development lifecycle.
An early access Product Collection brings together Jira Product Discovery, the Feedback app and other elements, including a planned Pendo integration. The aim is to give product teams one connected environment to capture feedback, rank ideas and follow delivery work. Learn more about AI for Product Development.
Atlassian is also rolling out Dia, an AI browser designed to produce daily briefings based on emails, messages, calendars, graph context and browser activity. It includes single sign-on, mobile device management support for Chromium and SOC 2 Type II attestation.
The strategy behind the opening
Rovo is already used by more than 75% of Fortune 500 companies and 90% of Atlassian's enterprise cloud customers. In the past month alone, customers carried out more than 14 million Rovo-assisted actions. Agent-based automations have increased sevenfold over the past six months.
CEO Mike Cannon-Brookes said the real competitive advantage lies not in AI models themselves but in organizational context. "In 2026, anyone can buy 'smarts' by the token," he said. "The real moat is your institutional memory: every plan, document, and decision your teams have ever made."
By exposing its graph through standardized access points, Atlassian is betting that control of structured workplace context will matter more than the model itself. The updates show the company pushing further into workplace AI software by tying agents to the records, workflows and documents inside its collaboration products. Explore AI Agents & Automation to understand how these tools function in practice.
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