Scoped Jira credentials for AI agents
Jira is where engineering work gets tracked — issues, sprints, epics, and backlogs. AI agents that create tickets, update statuses, or pull sprint data all need Jira API access. Gazebo scopes that access per agent so each one can only touch the projects and issue types its task requires.
Why should AI agents use scoped Jira credentials?
A shared Jira API token across agents means any agent can read every project in your instance, create issues in any board, or modify sprint configuration. There's no agent-level audit trail and no way to revoke one agent's access without affecting the others. Gazebo enforces per-agent scope on every Jira credential request.
How it works
- 1
Connect your Jira instance to Gazebo using an API token scoped to the projects your agents need.
- 2
Create an access profile for each agent — scoped to the specific projects, issue types, and operations it actually performs.
- 3
Each agent calls get_credential via MCP. Gazebo checks the policy and returns the Jira token.
- 4
Every access is logged: which agent, which timestamp, approved or denied.
- 5
Revoke any agent's Jira access instantly. Your underlying API token is never rotated.
Common use cases
Bug-filing agents scoped to their project
Give a testing agent access to create issues only in the QA project — not your product backlog, security board, or executive roadmap.
Sprint reporting with a full audit trail
Every time a reporting agent retrieves Jira credentials to pull sprint velocity or issue counts, Gazebo logs it — separate from Atlassian's own audit log.
Revoke without disrupting other integrations
If an agent starts modifying issues outside its expected project scope, revoke its access profile in one click. Your other Jira integrations and agents keep running unaffected.
Connect Jira to Gazebo
Give your agents scoped access to Jira in minutes. Every call logged. Revoke anytime.
Connect Jira