How to Connect Jira to Google Workspace Studio

Automate your project management by connecting Atlassian Jira directly to your Google Workspace Studio AI agents. This guide walks you through the entire setup process.

Why Connect Jira to Google Workspace Studio?

Google Workspace Studio brings powerful AI agent capabilities to your workflow. By connecting Jira, you can:

Auto-create tickets — AI agents can create Jira issues from Slack messages, emails, or form submissions
Track status updates — Get real-time project status in your Google Workspace
Automate sprint management — Move issues between statuses automatically
Generate reports — AI-powered summaries of sprint progress
Sync comments — Keep communication flowing between platforms

Prerequisites

Google Workspace account with Studio access
Atlassian Jira Cloud account (free or paid)
Permission to authorize third-party apps for your Jira Cloud site (or an admin who can approve the Studio Connectors app)
Studio Connectors Jira Connector (get it here)

Step 1: Authorize Studio Connectors to Access Jira (OAuth 2.0)

In Google Workspace Studio, open your agent and navigate to the Connectors section.
Select the Studio Connectors Jira Connector and click "Connect Jira".
You will be redirected to Atlassian's sign-in and consent page. Sign in with your Jira Cloud account if prompted.
Review the access permissions requested by Studio Connectors and click "Accept" to complete the OAuth authorization.
After consent, you will be redirected back to Studio, and the connector will show as Connected.

Step 2: Install the Studio Connectors Jira Connector

Download the connector package from your Studio Connectors dashboard
In Google Workspace Studio, go to Extensions → Import Connector
Upload the connector package
The Jira connector will appear in your available integrations

Step 3: Verify Your Connection

After completing OAuth authorization in Step 1, your connector should show as Connected. The following details are automatically configured:

Jira Cloud Site	Auto-detected from your OAuth authorization
Authentication	OAuth 2.0 (3LO) — managed by the platform
Permissions	Read/write Jira issues, read user info

Step 4: Test the Connection

Use the built-in test action to verify everything works:

Action: search_issues
Input:  { "jql": "project = PROJ ORDER BY created DESC", "max_results": 5 }
Result: ✅ Found 5 issues — connection successful!

Step 5: Build Your First Automation

Here's a practical example — automatically creating Jira tickets from user requests:

Example Flow:

User sends message: "Create a bug ticket: login page crashes on mobile"
AI Agent parses the request and identifies: type=Bug, summary="Login page crashes on mobile"
Connector calls create_issue with the extracted data
Jira creates issue PROJ-456
AI Agent responds: "Created PROJ-456: Login page crashes on mobile (Bug, High priority)"

Available Actions

Action	Description
`create_issue`	Create a new Jira issue
`get_issue`	Get issue details by key
`update_issue`	Update issue fields
`search_issues`	Search with JQL
`add_comment`	Add comment to issue
`transition_issue`	Change issue status

Next Steps

Explore the full Jira connector documentation
Try combining Jira with other connectors (Notion, Airtable)
Set up automated sprint reports
Build a customer support pipeline with Jira + Slack