Integration
Connect Feefo and TrekkSoft
When New Feedback fires in Feefo, your agent runs Send Booking Tickets in TrekkSoft, or New Booking in TrekkSoft to Create Feedback Request (Supports Multiple Line Items) in Feefo. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Feefo and TrekkSoft to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.
Set it up in your client
Claude Code
Run this in the directory you want to work in.
claude mcp add --transport http -s project apiant-ai https://mcp.apiant.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)Claude, web and desktop
Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.
Setup guide (opens in a new tab)Cursor
Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.
Setup guide (opens in a new tab)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)Codex and the ChatGPT desktop app
Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.
Setup guide (opens in a new tab)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
Setup guide (opens in a new tab)Any other MCP client
Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.
Setup guide (opens in a new tab)Example flows
What Feefo and TrekkSoft can do together
From Feefo to TrekkSoft
When New Feedback in Feefo
then Send Booking Tickets in TrekkSoft
From TrekkSoft to Feefo
Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.
Everything your agent can do with Feefo and TrekkSoft
Triggers and actions 5 triggers · 17 actions
- New Feedback
Triggers when a new review is posted for the merchant on Feefo.
- Create Feedback Request (Supports Multiple Line Items)
Records a sale in Feefo so a feedback request email is sent to the customer, on the sale date or the feedback date you choose.
- Get Reviews Summary
Returns a merchant's overall Feefo rating and the count of reviews at each star level, for service, product, or both.
- List Product Ratings
Returns the average rating and review count for each of a merchant's products, optionally filtered to specific SKUs.
- List Reviews
Returns a page of a merchant's Feefo reviews — service, product, or both — with ratings, comments and customer display names.
- Booking Cancelled
Triggers when a booking is cancelled in TrekkSoft.
- Guest Cancelled
Triggers when a guest is cancelled in TrekkSoft.
- New Booking
Triggers when a new booking is created in TrekkSoft.
- New Guest
Triggers when a new guest is added to a booking in TrekkSoft.
- Add Offline Payment
Records an offline payment (such as cash) on a booking.
- Check In Guest
Checks a guest in for their activity.
- Confirm Booking
Confirms a booking that requires confirmation.
- Get Activity
Returns one activity by its ID.
- Get Booking
Returns one booking by its ID.
- Get Guest
Returns one guest by its ID.
- List Activities
Returns the tours and activities offered in your TrekkSoft account.
- List Availabilities
Returns bookable time slots, optionally for given dates.
- List Bookings
Returns bookings, optionally filtered by booking date, activity date or search text.
- List Guests
Returns guests, optionally filtered by booking, name or phone.
- List Merchants
Returns the merchants available to your account.
- Send Booking Tickets
Sends the tickets for a booking to the customer.
- Validate Ticket
Checks whether a ticket code is valid.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
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More into TrekkSoft
Questions
Feefo and TrekkSoft, answered
What can start an automation from Feefo?
Any of Feefo's 1 trigger in the catalog, including New Feedback. Describe the moment in plain language and your agent picks the right one.
What can your agent do in TrekkSoft when something happens in Feefo?
Any of TrekkSoft's 13 actions, including Send Booking Tickets, Add Offline Payment, Check In Guest and Confirm Booking. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from TrekkSoft to Feefo?
Yes. When something happens in TrekkSoft, your agent can act in Feefo too. This page covers both directions: TrekkSoft's triggers and Feefo's actions are listed here as well.
Do I have to build a connector for Feefo or TrekkSoft?
No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.
Can my AI client use Feefo and TrekkSoft without building an automation?
Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.
What happens when something fails?
Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.
Is there a free plan?
Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.