Atlassian Unveils The Agentic Multiplayer Protocol for Enhanced AI Collaboration at Team ’26 Europe
India : At Atlassian’s conference Team ’26 Europe in Amsterdam, the provider of AI collaboration and productivity software for teams has announced new innovations across its entire product portfolio, following more than 120+ enterprise capabilities launched during the last year.
These innovations build upon Atlassian’s platform for human + AI collaboration—where humans and agents now collaborate more than 10 million times a month across the platform—and enable the newly announced The Agentic Multiplayer Protocol (AMP). AMP is a collection of experiences, patterns, and technology that enable agents to collaborate alongside human teammates, on and off the Atlassian platform.
“Solo effort only goes so far. Teams sharpen ideas, catch blind spots, and help us move further, faster. The same is now true for AI. The biggest shift ahead is moving from single-player AI to multiplayer teamwork with agents working alongside your people, in the flow, the way great teams already do”, said Atlassian Co-Founder and CEO Mike Cannon-Brookes.
The Agentic Multiplayer Protocol
The new The Agentic Multiplayer Protocol establishes guidelines for how agents can securely participate in shared work, across three layers:
• In-the-Flow Collaboration: Agents don’t live in a separate chat window anymore. They collaborate naturally where work happens, both in real time and asynchronously. In tools that are already used by teams to drive their work forward, they interact with agents the same way they would with a human.
• Identity and Shared Presence: AMP dictates that everyone can see how agents are being used to advance work. Every agent has a clear owner, a distinct profile, and real-time attribution. For instance, teams can watch how agents are editing documentation or code—whether the agent was invoked in the tool or locally, such as on a developer’s machine.
• Context and Governance: Agents need the right context and permissions to work safely. With AMP, every agent is grounded in the Teamwork Graph, pulling real institutional memory across an organisation’s SaaS tools. Permissions are completely scoped to the individual or team level depending on the use case. Organisations get a full audit of agent activity: who triggered the agent, what data it touched, and built-in human checkpoints for every decision that matters.
Rovo and the Teamwork Graph
This rapid shift towards multiplayer teamwork is reflected in the immense momentum behind Rovo and the Teamwork Graph. Today, humans and agents collaborate more than 10 million times a month across the Atlassian Platform, and the number of Rovo agent users has doubled in the last 6 months alone. Rovo is now used by over 80% of Fortune 500 companies, with 85% of enterprise cloud customers across major markets enabling Rovo AI-powered features—a trend mirrored by rapid enterprise and developer adoption across India.
Underpinning this intelligence is the Teamwork Graph, Atlassian’s enterprise context layer, which now tracks well over 250 billion objects and relationships—up from 150 billion just six months ago.
Atlassian MCP
Atlassian also announced a new version of Atlassian MCP (Model Context Protocol) server, connecting external AI tools and coding agents to enterprise context across Atlassian’s entire portfolio. As one of the most-used MCP servers in the world, Atlassian MCP has reached more than 15M+ daily tool calls, a 15x increase in six months.
The new version now runs significantly leaner. In internal benchmarking on Claude models, the updated Atlassian MCP saves up to an average of 25% tokens compared to the previous version to do the same Jira and Confluence work, driving critical efficiencies for India’s engineering teams and Global Capability Centres (GCCs).
To ensure governance and visibility, new capabilities including Agent Sessions and Non-Human Identities make agent activity fully traceable, reusable, and secure. New collaboration tools like Record for Agent and Interactive PR Reviews further streamline human-agent workflows by transforming screen-and-voice recordings into actionable briefs and video walkthroughs.
To help enterprises scale their AI transformation, Atlassian also announced the expansion of its Forward Deployed Engineering programme, embedding senior applied AI engineers directly within customer organisations, and released The Atlassian Forward Deployed Engineering Playbook, an enterprise-level resource detailing lessons learned directly from the programme.
—–
