Feature Marketplace · Connectors
Help Scout Connector
Help Scout shared-inbox customer support platform. Syncs conversations, customers, and users via the Mailbox API 2.0 with webhook support for real-time conversation and customer events.
What syncs
The Help Scout 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 Help Scout announces changes, they arrive as they happen.
Conversations
Support conversations including subject, status, mailbox, assignee, and customer waiting time.
Changes arrive as they happenCustomers
Customer profiles including name, job title, organization, and background notes.
Changes arrive as they happenUsers
Help Scout users including role, timezone, and contact details.
Help Scout data in your own SQL Server, then wherever it is needed.
STRAX is a self-hosted integration platform. The Help Scout 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 Help Scout 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 "Help Scout 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.