Confluence AI integration that answers from your wiki and updates pages
Coworker's Confluence AI integration searches your Confluence Cloud pages, reads them, and answers next to your Jira issues, Slack threads and calls. Agents can then draft a new page in the right space, update an existing one or leave a comment, and each change can wait for your approval.
How Confluence context reaches your AI tools
Coworker brings Confluence together with the rest of your tools in OM2, its organizational memory, then answers in Coworker's own apps, or in Claude, ChatGPT and Cursor through Coworker MCP.
What teams do with Confluence AI and Coworker
Coworker's Confluence AI assistant answers from your pages and keeps them current, next to Jira, Slack and your calls.
Answers with links back
Ask in plain English and get an answer from the Confluence pages that have it, with links back to each one.
Meeting notes to a page
After a meeting, get a formatted Confluence page of the notes in the space you name, under the parent page you pick.
Living docs that stay current
Update a runbook or project page by passage or in full. Each edit is saved as a new page version with an optional version note.
A comment instead of an edit
When a page needs its owner's eye rather than a change, an agent leaves a comment on it.
Decisions next to open work
Ask what was decided about a project and which Jira issues are still open for it, and get the Confluence page next to the issues.
More for product teams: Coworker for product teams, and our guide to enterprise MCP.
Live in minutes
Each person signs in with Atlassian
Coworker reads and writes Confluence with each person's own Atlassian login, so it only sees and changes pages that person can already open.
Turn on page editing per agent
Give editing rights only to the agents that should create or update pages. Every other agent reads only.
Decide what needs approval
Tick Require approval for Confluence on an agent. Each new page, edit or comment then shows up as a card and only runs when someone approves it.
Every model needs the right context.
Atlassian's Rovo MCP Server can only see what lives in Atlassian's apps. OM2 connects your Confluence pages to the Salesforce accounts, support tickets, Slack threads, and call transcripts around them in one permission-aware knowledge graph, so Claude, ChatGPT, or Cursor starts every task with your customers, projects, and decisions already loaded.
Mosaic Financial
Series B fintech · $3.1M ARR · 47 seats
project
SOC 2 Type II audit
person
Priya Nambiar
workflow
Enterprise onboarding
team
Customer Success
source
#mosaic-impl
Mosaic Financial
Series B fintech · $3.1M ARR · 47 seats
Enterprise-grade security, from day one
SOC 2 Type II
Audited annually, report on request
Hosted locally
Your memory stays in your region. Open-source models run in the US.
Isolated per company
In our cloud or your VPC
Never trains on your data
No model provider, closed or open source
Your permissions, enforced
The access already set in Salesforce, Slack, Jira and Drive
Also included
Related Docs & Knowledge connectors
FAQ
Frequently asked questions
Coworker is a context layer for enterprise AI. It connects 50+ work tools, builds a permission-aware company graph called OM2, and runs agents that act across those tools, inside Coworker or in Claude, ChatGPT and Cursor through Coworker MCP.
Coworker is a Rovo alternative for teams whose work spans Atlassian and other tools. Coworker connects Jira and Confluence Cloud next to Slack, Google Drive, Salesforce and the rest of its 50+ connectors, and its agents write back to those tools with optional approval. Rovo fits teams that work only in Atlassian; Coworker is for teams whose answers also live in other tools. See Coworker vs Rovo and our Confluence AI comparison.
Atlassian's Rovo MCP Server is a natural fit if your work lives in Jira and Confluence, and it works with any MCP client, including Claude and ChatGPT. Coworker MCP is for answers that also need your CRM, support tickets and call transcripts, in one connection with Confluence and the rest of Coworker's 50+ connectors, on each person's own Atlassian login.
Ask in plain English and Coworker searches Confluence for you, then reads full pages with their title, space and version. Confluence is also one of the sources Coworker's organizational memory draws on.
It can create a page in a space, optionally under a parent page, from formatted text. It can update a page by replacing a specific passage or rewriting it, change the title, and add a comment. It does not delete, move or relabel pages, add attachments or change page permissions.
Coworker works with Confluence Cloud. Server and Data Center aren't supported.
You decide. Tick Require approval for Confluence on an agent and every new page, edit and comment waits for a person, who sees the full change before it runs.
Each person connects with their own Atlassian login, so Coworker reads and writes as that person and Confluence's space and page permissions still apply.
Yes. An agent can run on a schedule, when a meeting ends, or when someone asks in Slack. For example, a page of decisions after each planning meeting, or a weekly update to a project page.
Coworker is built for that stack. Coworker reads Confluence pages, Jira issues, Slack threads and Salesforce records in one answer, and Confluence answers link back to each page. Its agents can then update the Confluence page, file the Jira issue or log the Salesforce task. Confluence, Jira and Slack searches run on each person's own login.
Connect Confluence in minutes
Connect your Confluence data and watch agents go to work in minutes.