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Connectors / IT · HTTP Connector
Automate RepairShopr with Tray.ai
Create a ticket, create a customer and create an invoice in RepairShopr. Connect RepairShopr to the rest of your IT stack with Tray.ai.
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What can you do with RepairShopr on Tray.ai?
RepairShopr is software for repair shops and IT service providers, handling tickets, customers, estimates, invoicing, inventory, and remote device monitoring. Tray.ai connects to RepairShopr through the HTTP Connector, so your workflows can call the RepairShopr API alongside the rest of your stack.
- Create a ticket in RepairShopr when your monitoring system raises an alert for a client device.
- Create a customer when a deal closes in your CRM.
- List invoices each day and post them to your accounting system.
- Add a ticket comment when a related issue is updated in your engineering tracker.
- Connects through
- HTTP Connector
- Authentication
- An API key in the query string or a bearer token
- Base URL
- https://{subdomain}.repairshopr.com/api/v1
Set it up
Connect RepairShopr to Tray.ai
Each step uses RepairShopr's own API details, from its documentation.
Step 1
Save RepairShopr's API key
Save the key as a Tray.ai authentication and add it to the query string from $.auth, so it never sits in the workflow itself.
Step 2
Point the HTTP Client at the API
Add an HTTP Client step and use https://{subdomain}.repairshopr.com/api/v1 as the base URL. Or paste a cURL example from RepairShopr's API docs, and Tray.ai fills in the method, URL, and headers.
Step 3
Start with “List tickets”
It's one of 24 documented actions, under Tickets. The response comes back as data the next step can map into your other apps.
Step 4
Hand it to an AI agent
Wrap “Create a ticket” and “Update a ticket” in workflows, and Tray.ai's Agent Gateway for MCP publishes them as governed tools Claude and other AI agents can call.
What the RepairShopr API covers
6 resources and 24 documented actions, each one a call the HTTP Connector can make from a Tray.ai workflow. Connecting it takes a few clicks: here's how.
Tickets
- List tickets
- Create a ticket
- Update a ticket
- Add a ticket comment
- Delete a ticket
Customers
- List customers
- Create a customer
- Update a customer
- Delete a customer
Invoices
- List invoices
- Create an invoice
- Update an invoice
- Email an invoice
Estimates
- List estimates
- Create an estimate
- Email an estimate
- Convert an estimate to invoice
Appointments
- List appointments
- Create an appointment
- Update an appointment
- Delete an appointment
Products
- List products
- Create a product
- Update a product
Checked against RepairShopr's own documentation on 2026-10-22
How Tray.ai makes this work
RepairShopr plugs into the whole Tray.ai platform
Intelligent Integration
Integrate and automate across 6,000+ apps, databases, APIs, and services with visual workflows, error handling, and observability.
Learn more →Agent Builder
Build AI agents that read, write, and take action in RepairShopr — with guardrails, audit, and human-in-the-loop.
Learn more →Agent Gateway for MCP
Expose RepairShopr actions as governed MCP tools — observable, rate-limited, authenticated.
Learn more →Tray Helix
Build apps on RepairShopr data with your AI assistant, then deploy, run, and govern them on Tray.ai.
Learn more →More it apps on Tray.ai
Dedicated connectors and other apps Tray.ai reaches in the same category. See every it connector →
Frequently asked questions
What can a Tray.ai workflow do in RepairShopr?
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The RepairShopr API documents 24 actions across 6 resources (Tickets, Customers, Invoices, Estimates, Appointments, Products). For example: List tickets; List customers; List invoices. A workflow can make any documented call through the HTTP Connector.
How does Tray.ai authenticate with RepairShopr?
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The RepairShopr API uses an API key in the query string and a bearer token. You save it once as a Tray.ai authentication, and the HTTP Connector adds it to every request.
See RepairShopr working against your stack.
We'll walk through a tailored demo with your systems plugged in.
Thanks — someone from our team will be in touch soon.