Scibly vs. Rovo. Rovo finds what your team already wrote in Atlassian and connected apps. Scibly also asks your experts for what was never written down.
Two different approaches. Rovo is a tool your team works in. Scibly adds a knowledge layer to the tools you already have, working in the background.
How Rovo works
Rovo is Atlassian's AI, included in paid Atlassian Cloud plans with a monthly credit allowance per user. It offers search, chat and agents inside Jira and Confluence, built on the Teamwork Graph, which links Atlassian content, people and work with apps such as Slack, Google Drive, GitHub and Microsoft 365 through connectors. Answers draw only on what each user may see. Its MCP server brings Jira, Confluence and other Atlassian products into Claude, ChatGPT and Cursor.
How Scibly works
Scibly adds one central knowledge layer to the tools you already use. In the background, it brings together what's in documents, meetings and your people's experience, and links every piece of information to its source. Your team's AI tools can draw on this knowledge, always within each person's access rights. And because Scibly captures knowledge across the whole company, it also shows when important know-how sits with only one person.
Already using Rovo? Scibly works alongside it.
Scibly doesn't replace Jira, Confluence or Rovo. It reads Jira and Confluence as sources, next to your other tools, meetings and interviews. Your team's AI tools can use Scibly's MCP server and Atlassian's side by side: Atlassian's to work on issues and pages, Scibly's for knowledge from every source, with a source for every statement.
What Scibly does differently. Four differences your team will notice in its first weeks.
01Knowledge that isn't written down anywhere
Rovo works with content that already exists in Atlassian and your connected apps. Scibly also captures what so far lives only in your people's heads: in short interviews, it asks for what's missing and makes the answers available to the whole team, with the expert kept as the source.
02Knowledge on one person
Rovo's people cards show a teammate's role, team, collaborators and recent work. Scibly also shows which knowledge sits with one person only, and how much your team relies on it. So you can make sure it's handed on in time.
03Meetings as a source of company knowledge
With a paid Confluence and Loom Business+AI plan, Loom records meetings and stores notes and transcripts in Confluence, and a Rovo agent answers questions about them. Scibly turns the key content and decisions into shared knowledge, linked to the people and topics involved. Weeks later, those decisions still count in answers about the topic.
04All your knowledge in every AI tool
Rovo's MCP server is built for working in Atlassian: issues, pages, pull requests and more. Its search across connected apps is still in beta there. Scibly serves one shared knowledge base from all your tools, meetings and interviews to every AI tool your team uses, within each person's access rights.
The key differences at a glance
| Scibly | | |
|---|---|---|
| Knowledge sources | Your tools, meetings and experts | Atlassian apps and connected tools |
| No new interface | Works in your existing AI tools | Its own search, chat and agents, plus an MCP server for Atlassian |
| Captures what your experts know | Makes undocumented knowledge accessible | No |
| Makes knowledge risks visible | Before important knowledge leaves the company | Shows people, collaborators and recent work |
| Connects your company's knowledge | People, topics and facts, each with its source | Teamwork Graph of content, people and work |
| Access rights | Carried over from your tools | Carried over from your tools |
| Getting started | A pilot with one team | Included in paid Atlassian Cloud plans |
| Hosting | EU | Atlassian Cloud, stored data can be kept in the EU |
Scibly is a strong fit if…
- your team's know-how lives in Slack threads, tickets and a few people's heads, not in the docs.
- you want to see which systems only one person really knows, before they switch teams or leave.
- your team already works with Claude, Cursor, ChatGPT or Copilot and doesn't want another platform.
- every answer your AI gives should name its source, so anyone can check it.
As of 8 November 2026, from what Rovo publishes.
Sources:Atlassian RovoRovo licensingRovo connectorsRovo SearchAtlassian MCP server, Team '26 EuropeRovo MCP server toolsLoom AI meeting notesAtlassian data residency
