JIRA DATA CENTER AND MEISTERTASK INTEGRATION

Sync anything between Jira Data Center and MeisterTask

Unito's real-time, two-way sync links MeisterTask and Jira Data Center with enterprise-grade security, full control, and zero coding required.

What to expect

  • A 15-30 min call to assess your workflow and integration needs
  • A solutions overview of Unito’s sync platform
  • Hands-on help to get started and support your evaluation

Trusted by Fortune 500 companies and global brands

Real-time data sync with full control, no coding required

Custom sync rules

Use intuitive rules (conditions or filters) to determine exactly what data to sync, such as task status, assignee, labels, and more.

Deep field configurability

Configure your data flow field by field. Map any native or custom fields and define flow direction for each.

Full relationship support

Sync hierarchies and related items across tools, keeping linked objects, dependencies, and parent-child relationships fully intact.

Historical data sync

Your sync doesn't rely on live triggers. Unito rules apply to any object in your tools and can also include historical data.

Comment & attachment support

Sync comments across tools with control over private and public visibility, and sync attachments for full visibility.

Live data transformation

Transform data in real time with transformers to combine fields, convert HTML to text, extract values, or apply custom string logic through JSON settings.

Enterprise-grade sync without the complexity

Cross-platform integration at scale usually takes weeks or months to deploy. Unito delivers reliable sync between MeisterTask and Jira Data Center with a self-serve setup and field-level configurability.

Abstracted complexity

Connect MeisterTask and Jira Data Center with an intuitive, out-of-the-box solution that allows for full configurability of your integration. Unito doesn't require custom logic, scripting, or dev-led setup.
Abstracted complexity

Lower total cost of ownership

Most iPaaS tools drive up cost with long rollouts and heavy upkeep. Unito lowers TCO with fast time to value, and no specialized headcount to maintain or scale integrations.
Lower total cost of ownership

Scalability and resilience

Maintain real-time data consistency across datasets of any size. Unito's auto-scaling, intelligent API throttling and automatic recovery ensure uptime even during peak loads and tool downtimes.
125K work items
in sync
600K500K400K300K200K100K0
W1 W2 W3 W4 W5 W6
Roadmap-to-execution sync 22K items in sync
Bug triage & routing 17K items in sync
Sprint & release coordination 10K items in sync
Abstracted complexity
Lower total cost of ownership
125K work items
in sync
600K500K400K300K200K100K0
W1 W2 W3 W4 W5 W6
Roadmap-to-execution sync 22K items in sync
Bug triage & routing 17K items in sync
Sprint & release coordination 10K items in sync

Enterprise-grade control and reliability

Unito is designed to meet the highest standards of security and performance.

SOC 2 Type 2 certified

GDPR and CCPA compliant

  • SSO
  • End-to-end encryption
  • Access controls and flow permissions
  • Centralized monitoring tools
  • No data stored by Unito

Hand off MeisterTask work to Jira Data Center

When MeisterTask tasks are ready for engineering, dispatch them straight into Jira Data Center as work items. Plans set in MeisterTask sections and projects flow into the right epics and sprints, and updates sync both ways as the build moves forward.

Schedule your free demo

Dispatch tasks without copy-paste

Turn ready MeisterTask tasks into Jira Data Center work items automatically, so nothing gets re-keyed by hand on the way to your engineering team.

Keep both sides in sync

As developers update Jira Data Center work items, status and field changes flow back to the matching MeisterTask tasks in real time, two-way sync.

Map MeisterTask to Jira your way

Decide which MeisterTask sections and projects route to which Jira Data Center epics and sprints, and map fields exactly to fit how each team works, no coding needed.

See how you can sync Jira Data Center and MeisterTask with Unito

Connect Jira Data Center and MeisterTask in minutes. No code, no consultants—set up your first two-way sync today and watch updates flow on their own.

What to expect

  • A 15-30 min call to assess your workflow and integration needs
  • A solutions overview of Unito’s sync platform
  • Hands-on help to get started and support your evaluation

About Jira Data Center

Jira Data Center is a self-managed deployment option for Atlassian designed for large enterprise organizations with complex, mission-critical needs. It offers high availability, scalability, and enhanced administrative control to support massive teams.

Learn more about Unito's Jira Data Center integrations

About MeisterTask

MeisterTask is a customizable project management solution that leverages the Kanban system of task management with boards, lists, cards, and swimlanes. It provides flexibility for users to tailor workflows according to individual preferences and team dynamics.

Learn more about Unito's MeisterTask integrations

Frequently asked questions about Jira Data Center and MeisterTask

Can a new MeisterTask task automatically create a work item in Jira Data Center?

Yes. With rule-based criteria, Unito can create a matching Jira Data Center work item whenever a qualifying MeisterTask task appears, then keep the two in sync both ways automatically.

Do comments stay in sync between MeisterTask and Jira Data Center?

Yes. Unito syncs comments two-way between the tools and gives you control over public and private visibility, so each side sees the notes it should and conversations stay aligned.

Does Unito support custom fields across MeisterTask and Jira Data Center?

Yes. Unito maps native and custom fields and supports custom-field data exposed through each tool’s API, letting you define field-by-field mappings and the flow direction for each one.

Who maintains the integration once it's set up?

You do, with no code. Unito is owned and adjusted by the team using it through a no-code interface, so you can update rules, mappings, and field flows between MeisterTask and Jira Data Center without engineering help.

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