Atlassian connector
Automate Atlassian Workflows and Connect Jira, Confluence, and More
Sync your Atlassian suite with the rest of your tech stack to cut manual handoffs and keep engineering, product, and ops teams on the same page.
What can you do with the Atlassian connector?
Atlassian tools like Jira, Confluence, and Jira Service Management sit at the center of how engineering and product teams plan, build, and ship software. But when these tools run in isolation from your CRM, support desk, monitoring systems, and communication platforms, critical context gets lost and teams burn hours on status updates and manual data entry. Integrating Atlassian with tray.ai lets you build automations that route issues, sync project data, and trigger workflows across your entire software development and business operations stack.
Automate & integrate Atlassian
Automating Atlassian business process or integrating Atlassian data is made easy with tray.ai
Use case
Bi-Directional Jira and CRM Sync
Keep sales, customer success, and engineering in sync by automatically creating and updating Jira issues when deals reach certain stages in Salesforce or HubSpot, and pushing issue status updates back to CRM records. This cuts the back-and-forth between commercial and technical teams about feature requests, bug fixes, and implementation timelines. Field mappings, priority levels, and custom issue types are all preserved across systems.
Use case
Automated Incident Management and Escalation
Connect Jira Service Management or Jira Software with monitoring tools like PagerDuty, Datadog, or OpsGenie so critical alerts automatically generate actionable issues with the right priority, assignee, and context. When an incident is resolved, the workflow can auto-close linked tickets, notify stakeholders in Slack, and log a post-mortem page in Confluence. Your incident response process stays consistent and fully documented without anyone manually shepherding it along.
Use case
Customer Support to Engineering Pipeline
Bridge the gap between your customer support platform — Zendesk, Intercom, or Freshdesk — and your Jira backlog by automatically escalating support tickets as engineering issues when they hit defined thresholds like reopen count, CSAT score, or VIP customer tag. Bidirectional sync means support agents see engineering updates without toggling between systems, and customers get timely, accurate responses.
Use case
Sprint and Release Reporting Automation
Automatically compile sprint velocity, bug counts, story point completion, and release notes from Jira into dashboards, Confluence pages, or scheduled Slack digests for stakeholders who need visibility without digging into Jira themselves. Use tray.ai to query the Jira API on a schedule, transform the data, and publish formatted summaries to Confluence or push metrics into your BI tool for trend analysis.
Use case
Employee Onboarding and IT Provisioning Workflows
Trigger multi-step onboarding workflows in Jira Service Management when a new hire record is created in your HRIS (Workday or BambooHR). Automatically create a parent Jira task with subtasks for IT provisioning, software access, equipment setup, and manager check-ins, each assigned to the right team. Track completion status and escalate overdue tasks without any manual coordination.
Use case
Confluence Knowledge Base Sync and Content Automation
Keep your Confluence documentation in sync with external sources of truth by automatically updating or creating pages when product specs, API docs, or policy documents change in Notion, Google Drive, or SharePoint. You can also trigger Confluence page creation from Jira issue transitions — for example, auto-generating a technical specification page when an epic moves to the planning stage.
Use case
Security and Compliance Issue Tracking
Integrate Jira with security scanning tools like Snyk, Veracode, or your vulnerability management platform to automatically create, prioritize, and assign security issues in Jira when new vulnerabilities are detected. Route critical CVEs to the right squad, enforce SLA-based due dates, and generate Confluence audit trail pages to satisfy compliance requirements — all without manual triage.
Build Atlassian Agents
Give agents secure and governed access to Atlassian through Agent Builder and Agent Gateway for MCP.
Data Source
Look Up Jira Issues
Retrieve Jira issues by ID, filter, or JQL query to get context on bugs, tasks, and feature requests. An agent can use this to check current project status or find relevant tickets before taking action.
Data Source
Fetch Project and Sprint Details
Pull information about Jira projects, boards, and active sprints to give an agent visibility into team capacity and delivery timelines. Useful for answering questions about what work is in progress or coming up.
Data Source
Search Confluence Pages
Query Confluence spaces and pages to retrieve documentation, knowledge base articles, and internal wikis. An agent can pull up relevant docs to answer employee or customer questions without leaving the workflow.
Data Source
Retrieve User and Team Information
Look up Atlassian user profiles, group memberships, and permissions across Jira and Confluence. Useful for routing tasks, identifying owners, or tailoring agent responses based on team roles.
Data Source
Monitor Issue Comments and Activity
Fetch comment threads and activity logs on Jira issues to understand discussion history and decisions. An agent can summarize recent activity or spot blockers based on conversation context.
Agent Tool
Create Jira Issues
Automatically create new Jira tickets with fields like summary, description, priority, and assignee already filled in. An agent can use this to log bugs, feature requests, or action items captured from other tools or conversations.
Agent Tool
Update Issue Fields and Status
Modify existing Jira issues by updating fields, changing status, reassigning, or adjusting priority. This keeps tickets in sync as things change across connected systems — no manual cleanup required.
Agent Tool
Add Comments to Issues
Post comments on Jira issues to share updates, decisions, or automated summaries right where the work lives. Stakeholders stay informed without anyone having to write it up manually.
Agent Tool
Create and Update Confluence Pages
Generate or edit Confluence pages to publish meeting notes, reports, or documentation automatically. An agent can draft structured content from inputs in other systems and post it to the right space.
Agent Tool
Transition Issue Workflow States
Move Jira issues through workflow transitions like 'In Progress' to 'Done' or 'Blocked'. Agents can close out or escalate tickets based on automated logic or triggers from other tools.
Agent Tool
Manage Issue Links and Dependencies
Create or remove links between Jira issues to track dependencies, duplicates, or related work. An agent can keep those relationships accurate across tickets when it's processing information from outside sources.
Channel
Respond via Jira Service Management
Deploy an agent inside Jira Service Management to handle incoming support requests, answer questions from the knowledge base, and route or escalate tickets automatically. People hitting the help desk portal get a real answer right away instead of waiting in a queue.
Get started with our Atlassian connector today
If you would like to get started with the tray.ai Atlassian connector today then speak to one of our team.
Atlassian Challenges
What challenges are there when working with Atlassian and how will using Tray.ai help?
Challenge
Managing Complex Jira Data Structures in Automations
Jira's data model includes custom fields, nested issue hierarchies (epics, stories, subtasks), and project-specific configurations that differ across teams and instances. Mapping these accurately to external systems — especially when field schemas vary by project or issue type — is a common source of integration failures and data quality problems.
How Tray.ai Can Help:
tray.ai's visual data mapper and JSONPath transformation tools let you handle complex, nested Jira payloads and map custom fields dynamically. You can branch logic based on issue type or project key, so field mappings apply correctly regardless of Jira project configuration. No custom code required for the vast majority of field transformation scenarios.
Challenge
Keeping Bidirectional Syncs from Creating Infinite Loops
When syncing Jira with external systems bidirectionally — a CRM or support platform, for example — update events from one system can trigger updates in the other, which in turn fire new webhook events, creating loop conditions that flood both systems with duplicate writes.
How Tray.ai Can Help:
tray.ai has built-in loop prevention through conditional logic that checks the source of an update before executing write operations. You can use tray.ai's data storage to record the last sync timestamp or a hash of the payload and skip processing when an update originated from a tray.ai workflow itself, keeping bidirectional sync clean without runaway loops.
Challenge
Handling Atlassian Cloud vs. Server API Differences
Organizations running Atlassian Data Center or older Server instances face a different REST API surface than Atlassian Cloud users. Endpoints, authentication mechanisms, and available fields can differ significantly, making it hard to build integrations that work reliably or that can be migrated as teams move to Cloud.
How Tray.ai Can Help:
tray.ai's Atlassian connector supports both Cloud and Data Center authentication models, including OAuth 2.0 for Cloud and basic auth or PAT-based authentication for Data Center. Connector configurations can be versioned and parameterized so that workflow logic stays consistent while environment-specific API endpoints and credentials are managed separately.
Challenge
Scaling Webhook Volume from Active Jira Instances
High-activity Jira instances generate extremely high volumes of webhook events — every comment, field update, and transition fires events. Without proper filtering and throttling, downstream systems get overwhelmed and automation logic becomes expensive or unreliable to run at scale.
How Tray.ai Can Help:
tray.ai handles high-volume webhook ingestion natively with built-in queue management and rate-limiting controls. You can apply early-stage filtering conditions within the workflow trigger to discard irrelevant events before any processing steps run, which dramatically cuts unnecessary workflow executions and keeps costs predictable even on busy Jira instances.
Challenge
Authenticating Across Multiple Atlassian Workspaces or Projects
Enterprise teams often run multiple Jira instances — one per business unit, region, or environment — and integrations need to authenticate against and route data to the right one dynamically. Managing credentials and routing logic across instances adds real operational complexity.
How Tray.ai Can Help:
tray.ai's configurable authentication system lets you store and manage multiple Atlassian credentials within a single workflow environment. Using dynamic connector configuration, workflows can select the correct authentication context at runtime based on input parameters like project key, region, or business unit, so you can handle true multi-instance Atlassian automation from a single workflow definition.
Talk to our team to learn how to connect Atlassian with your stack
Find the tray.ai connector with one of the 700+ other connectors in the tray.ai connector library to integrate your stack.
Integrate Atlassian With Your Stack
The Tray.ai connector library can help you integrate Atlassian with the rest of your stack. See what Tray.ai can help you integrate Atlassian with.
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Start using our pre-built Atlassian templates today
Start from scratch or use one of our pre-built Atlassian templates to quickly solve your most common use cases.
Template
Zendesk Ticket to Jira Issue Escalation
Monitors Zendesk for tickets that meet escalation criteria (high priority, VIP tag, or SLA breach) and automatically creates a linked Jira issue with full ticket context, then syncs status updates in both directions.
Steps:
- Trigger on Zendesk ticket update matching escalation rules (priority, tag, or SLA breach)
- Create a new Jira issue with mapped fields including summary, description, priority, and Zendesk ticket URL
- Post a Slack notification to the engineering triage channel with issue details and a direct Jira link
- Listen for Jira issue status changes and update the corresponding Zendesk ticket status and add an internal note
Connectors Used: Zendesk, Atlassian, Slack
Template
PagerDuty Incident to Jira and Confluence Post-Mortem
Automatically creates a Jira incident issue when a PagerDuty alert fires, notifies the on-call team in Slack, and generates a Confluence post-mortem page from a pre-filled template once the incident is resolved.
Steps:
- Trigger on PagerDuty incident creation with severity above defined threshold
- Create a high-priority Jira issue pre-populated with alert details, affected services, and runbook links
- Send a Slack alert to the on-call channel with Jira issue link and incident summary
- On PagerDuty incident resolution, auto-create a Confluence post-mortem page from a standard template with timeline and impact pre-filled
Connectors Used: PagerDuty, Atlassian, Atlassian, Slack
Template
Salesforce Opportunity to Jira Implementation Project
When a Salesforce opportunity moves to Closed Won, automatically creates a Jira project or epic with standard implementation tasks, assigns team members based on deal metadata, and notifies the delivery team in Slack.
Steps:
- Trigger on Salesforce opportunity stage change to Closed Won
- Create a new Jira project or epic using a predefined template, mapping opportunity name, value, and contact to Jira fields
- Generate standard implementation subtasks and assign them based on product type or region from the opportunity record
- Post a Slack message to the delivery team channel with project details and a direct link to the new Jira epic
Connectors Used: Salesforce, Atlassian, Slack
Template
Jira Sprint Summary to Confluence and Slack
At the end of each sprint, automatically queries Jira for velocity, completed stories, and open bugs, then publishes a formatted summary to Confluence and posts a digest to the relevant Slack channel.
Steps:
- Trigger on a schedule aligned to sprint end date or on Jira sprint closure event
- Query Jira API for sprint metrics including completed issues, story points, carryover items, and bug counts
- Create or update a Confluence page in the team space with a formatted sprint retrospective summary
- Post a condensed sprint digest to the team Slack channel with key metrics and a link to the full Confluence page
Connectors Used: Atlassian, Atlassian, Slack
Template
Workday New Hire to Jira Service Management Onboarding Tasks
Listens for new hire events in Workday and automatically creates a structured Jira Service Management onboarding request with department-specific subtasks for IT, HR, and facilities.
Steps:
- Trigger on new hire record creation or activation event in Workday
- Create a parent Jira Service Management request with employee details, start date, role, and department
- Generate role-specific subtasks for IT access provisioning, equipment ordering, and HR paperwork assignment
- Send a Slack notification to each responsible team (IT, HR, facilities) with their assigned tasks and due dates
Connectors Used: Workday REST, Atlassian, Slack
Template
Snyk Vulnerability to Jira Security Issue
Automatically creates prioritized Jira security issues from Snyk vulnerability findings, enforces SLA-based due dates by severity, and posts a summary to the security team Slack channel.
Steps:
- Trigger on new Snyk vulnerability detection above a configurable CVSS severity threshold
- Create a Jira issue in the security backlog with CVE details, affected package, severity, and remediation guidance
- Set due date automatically based on severity tier SLA rules (e.g., critical within 24 hours, high within 7 days)
- Post a Slack summary to the security team channel with issue details, severity, and direct Jira link
Connectors Used: Snyk, Atlassian, Slack