Feature Marketplace · Connectors
Wrike Connector
Wrike collaborative work management platform. Syncs tasks, folders and projects, contacts, and timelogs via the Wrike REST API v4 with webhook support.
What syncs
The Wrike records STRAX brings into your hub.
Each kind of record is mapped once to your company model in the STRAX hub, then kept current in every system that needs it. Where Wrike announces changes, they arrive as they happen.
Tasks
Account tasks with status, importance, schedule dates, and hierarchy.
Changes arrive as they happenFolders & Projects
Folder and project tree with workflow, color, hierarchy, and project status.
Changes arrive as they happenContacts
Account users and user groups with profile, locale, and contact details.
Timelogs
Time tracked against tasks including hours, category, billing type, and tracked date.
Wrike data in your own SQL Server, then wherever it is needed.
STRAX is a self-hosted integration platform. The Wrike records land in the STRAX hub, a SQL Server database on your own servers, where your reports, portals and workflows read them. From there the hub delivers them to the other systems you connect, whether those run on SQL Server, MySQL, PostgreSQL or another API. STRAX signs in to Wrike with an access token that you provide, stored encrypted.
How STRAX connectors work → How the STRAX integration engine works → Connecting a system, in the documentation →
About this listing
| Version | 1.0.1 |
| Author | STRAX |
| Category | Connectors |
| Published | 2026-07-15 |
What's inside
| Connector profile | 1 |
Free listing
Install it from Feature Marketplace inside STRAX
Open Feature Marketplace
In your STRAX installation, open Feature Marketplace from the navigation.
Find "Wrike Connector"
Search or browse to this listing and review the contents disclosure; every package shows what it contains before anything runs.
Install
Choose Install, or "Customise with AI" to adapt the package to your environment first. No licence is needed for free listings.
See it on your own systems.
A demo takes an hour, on your data landscape rather than ours.


