Your Atlassian Platform,
Built to Perform

Rovo is Atlassian's AI platform built around one idea: your team's knowledge shouldn't be locked in silos. It connects to everything your team uses — Jira, Confluence, JSM, Slack, Google Drive, GitHub, and more — and builds what Atlassian calls a Teamwork Graph: a map of your organization's work, people, and knowledge.

From there, Rovo gives your team three core capabilities:

• Rovo Search — Enterprise search across every tool your team uses. Over 78% of Rovo Search users say it's better than any search experience they've had before.
• Rovo Chat — An AI assistant armed with your company's full context. It doesn't just answer questions — it plans and executes multi-step workflows across your entire stack.
• Rovo Agents — Custom AI agents that handle work autonomously. Assign them tasks just like a teammate: they'll reference your Teamwork Graph, figure out what needs to be done, and keep things moving.

The numbers speak for themselves. Teams using Rovo report 85% of wasted engineering time redirected toward critical innovation, 40x acceleration in reporting with Rovo agents, and 100+ hours saved per week by eliminating repetitive support questions.

At Citala Technologies, we help organizations implement, configure, and get maximum value from Rovo — including setting up custom Rovo Agents tailored to your specific workflows.

Rovo Dev is Atlassian's AI-powered development assistant, built directly into your engineering workflow. It's not just a code completion tool — it's a full development partner that understands the context of your Jira tickets, Confluence documentation, and codebase simultaneously.

After a year-long evaluation across over 1,900 repositories at Atlassian itself, Rovo Dev delivered:

• 30.8% faster development cycles — measured across real production code
• 35.6% reduction in human-written review comments — because Rovo Dev catches issues first
• Each Atlassian engineer saves 50+ hours per year — with Rovo's AI assistance

Rovo Dev is a human-in-the-loop AI partner, not a replacement for developers. It augments your engineering workflow at every stage: from turning Jira tickets into code, to reviewing pull requests, to running as a CLI agent for deep, multi-step tasks.

The Rovo Dev CLI agent is particularly powerful — it can take on complex coding tasks autonomously, running in your terminal and working through multi-step problems without constant hand-holding.

We help engineering teams configure Rovo Dev, integrate it with existing CI/CD pipelines, and set up the right guardrails so developers get the AI assistance they need without compromising on code quality or security.

MCP — the Model Context Protocol — is quickly becoming the standard way AI tools communicate with enterprise systems. Think of it as a universal adapter that lets any AI client (Claude, ChatGPT, Cursor, GitHub Copilot, VS Code) securely access and act on your Jira and Confluence data in real time.

The Atlassian Rovo MCP Server went Generally Available in February 2026, and the ecosystem is already huge. Supported AI clients include:

• Claude by Anthropic (Desktop, Teams, and Claude Code)
• OpenAI ChatGPT (Chat, Deep Research, and Agent Mode)
• Cursor, VS Code, Devin, GitHub Copilot
• Google Gemini, Microsoft Azure, AWS, Docker, Postman, and more

On top of that, Rovo Agents can now connect outward to third-party tools via MCP — pulling live data from Amplitude, Figma, GitHub, Slack, HubSpot, Intercom, New Relic, and 20+ other partner integrations without any custom code.

The result is a fully connected AI ecosystem where your Atlassian tools become the central hub for all AI-powered work — with 46+ tools exposed across Jira, Confluence, Compass, and JSM through a single secure MCP connection.

Setting up MCP correctly requires careful planning around authentication (OAuth 2.1), permission scoping, and governance. We help organizations design and implement their MCP integration architecture so every AI tool in your stack works seamlessly with Atlassian.