Block sensitive data when connecting Claude, ChatGPT, and any MCP client to Jira and Confluence, with granular allow/deny policies scoped to projects, spaces, and user groups enforced before every action, per-user identity, and a complete audit trail.
Yes, but only if you control what the AI can do once it’s connected. Connecting Claude to Jira and Confluence hands the model everything the user can reach. It can read every project and space that person can see, and act with every permission they hold, create, edit, delete. Claude Governance & Access Control closes that gap. Every request is checked against your allow/deny policy before it executes, runs under the real user’s own Atlassian permissions, and is logged to a named person.
Scope rules to specific Jira projects or Confluence spaces. Denied projects are never retrieved, even for users who otherwise have full access.
Target rules to Atlassian user groups, admins, developers, contractors. Contractors can be read-only while admins keep full access, all from one policy set.
Denied requests stop at the gateway before running. Data is never fetched, nothing reaches Claude. One rule, delete* → Deny, blocks every AI from deleting anything.
Every action logged: user, AI client, tool, request arguments, matched rule, decision, response size, and latency. Fully searchable, with a detail panel per entry.
No external server to harden, no external database to breach, no third party in the path. Your governance and audit data never leave Atlassian’s trust boundary.
Enterprise-grade control over AI in your Atlassian stack, fine-grained policy, full visibility, and one consistent gate for every client.
Scope rules to Atlassian user groups (admins, developers, contractors). Define once and enforce permissions across the entire group.
Wildcards like delete* or jira create* allow or block specific actions. First-match logic; changes apply on the next request.
Restrict rules to specific Jira projects or Confluence spaces, and to specific AI clients. Target exactly the surface you want to govern.
Filter by user, AI client, decision, or operation. Click any row for the full detail panel: arguments, matched rule, latency, and audit JSON.
Track request totals, block rates, and top AI tools across Today, 7 days, or 30 days in a single view.
Claude, ChatGPT, and any MCP-compatible client pass through the same policies and the same log. A custom MCP option is available too.
Set up your AI gateway in minutes and securely route every AI request through governed, policy-driven access.
Search "Claude Governance & Access Control" on the Atlassian Marketplace. Pick your site.
Allow the governed domain in Rovo. Disable native domains and route AI traffic through gateway.
Copy your MCP server URL from the Getting Started page.
Open Claude → Settings → Connectors → Add custom connector. Paste the URL. Connect.
Approve the Atlassian sign-in. The gateway ties every action to your identity and groups.
Ask Claude "Search my open Jira issues." Results mean the connection works end to end.
Enterprise-grade control over AI in your Atlassian stack, fine-grained policy, full visibility, and one consistent gate for every client.
We have been using MiniOrange for a long time and are absolutely satisfied with it. It meets our requirements and expectations. When we noticed errors, support was able to help us a lot and find and develop a solution for us. Awesome!
We recently installed this plugin for our Jira and found the solution to be very straight-forward and efficient. The support team has been extremely helpful in setting it up and answering all subsequent questions in operating the plugin. Highly recommended!
miniOrange support helped us integrate the product! They were very responsive and very professional during the integration process, saved us a lot of valuable time!..
Everything You Need to Know
Setup & Compatibility
Security, Governance & Audit
