Governed access for AI agents in Jira and Confluence

AgentGate is one MCP gateway for Claude, Copilot, Cursor and your own agents. Approve clients, scope short-lived credentials, enforce project and space policies, cap budgets, preview changes in dry-run and keep audit evidence — managed from Jira and Confluence administration.

Set up AgentGateTalk to support

AI client→AgentGate policy check→allow · dry-run · approval · deny→Jira / Confluence

Approved clients only

Register each AI client and organization. Restrict by environment (production or sandbox), user group and source IP range. Suspend a client in one click.

Short-lived scoped credentials

Credentials last 1 hour to 7 days, are bound to one client, one user and a tool scope, and are stored only as hashes. No personal API tokens in agent configs.

Project, space and tool policies

Allow, deny, dry-run or require approval per project, space, tool and read/write access. Search results outside allowed projects are withheld.

Budgets that protect your site

Per-client concurrency, requests per minute and daily budgets, with clear denial messages and retry hints for the agent.

Dry-run and approvals

Preview every mutation with the exact REST request and before/after values. Queue risky changes for an administrator to approve in Jira.

Audit evidence

Every call records actor, client, tool, target, policy decision and outcome, with redacted payloads. Search in Jira and export CSV or JSON.

How it connects

Install AgentGate in Jira and Confluence. Atlassian sends the gateway short-lived app tokens (at most 4 hours) through Forge Remote — the gateway never asks for passwords, API tokens or refresh tokens. Your AI clients connect to the MCP endpoint https://agentgate-ai-governance.apps.elektraset.com/mcp with a credential that an administrator issues.

To make AgentGate the only path, turn off API-token access and block unapproved domains in the Atlassian Rovo MCP server settings, and use your IP allowlist. See the setup guide.