We’re excited to share that the Atlassian Rovo MCP server is now generally available.
If your teams already work in AI assistants like Claude or ChatGPT, the Atlassian Rovo MCP server gives you a secure, admin-controlled way to let those AI clients take action in Atlassian products including Jira, Confluence and Compass (with Jira Service Management and Bitbucket Cloud on the roadmap).
Instead of copy/pasting between an AI chat and Atlassian, you can turn conversations directly into specs, plans and updates - while Atlassian remains the system of record.
The Atlassian Rovo MCP server is our Remote Model Context Protocol (MCP) server that exposes Jira, Confluence and Compass as structured tools to third-party AI clients.
From within an external AI client’s connector gallery, users can:
Connect Atlassian Rovo MCP server to their AI client
Consent to scopes and sign in with their Atlassian account
Use tools backed by the Atlassian Rovo MCP server, including:
Rovo search and fetch to power deep research
Create and update Confluence pages
Create and link Jira epics and issues
Work with Compass entities
All actions respect users' existing permissions, so AI clients can only see and change what the user could.
👉 Product overview & docs:
https://support.atlassian.com/atlassian-rovo-mcp-server/docs/use-atlassian-rovo-mcp-server/
Here are a few common “chat-to-work” flows we see:
Turn a chat into a Confluence spec
Brainstorm and refine a product spec in Claude or ChatGPT
Ask it to create a Confluence page in the right space
The MCP server will:
Find the right space using Rovo search
Create a structured page (title, sections, etc.)
Share the page link back in the chat
Create Jira epics and issues from that spec
From the same conversation, ask:
“Create an epic and related stories for this spec and link them to the page.”
The MCP server will:
Find the right Jira project
Create an epic and child issues
Link them back to the Confluence page
Understand a service using Compass
In your AI client, paste a link to a service or describe it (e.g. “our checkout service”)
Ask: “What is this service, who owns it, and how healthy is it?”
The MCP server will:
Look up the Compass component and its owners
Pull key health, dependency, and runtime details
Summarize it back in the chat with links to Compass for deeper investigation
Our GA focuses on making the Atlassian Rovo MCP server enterprise-ready:
âś… Audit logs for tool invocations
âś… Domain allowlist so admins can choose:
Allow any supported AI domain
Use Atlassian’s trusted list (with the ability to extend it)
Block all domains unless explicitly allowlisted
âś… Respects existing IP allowlists
âś… CSS support and runbooks in place
âś… Security whitepaper in the Atlassian Trust Portal
âś… Apps that deliver tailored UI experiences on top of MCP tools
âś… Atlassian Skills in Claude's directory
If you’re already experimenting with AI clients and our MCP tools:
What workflows are you trying to automate first?
Which AI clients and Atlassian products are most important to you?
What additional tools or controls would make the Atlassian Rovo MCP server more useful?
Please share your questions, feedback, or examples in the comments below so we can continue to evolve the Atlassian Rovo MCP server with you.
Jemma Swaak
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