Integration
Connect Trail and Ulama
When Task Completed fires in Trail, your agent runs Get Customer in Ulama, or New Order in Ulama to Create Task in Trail. 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 Trail and Ulama 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 Trail and Ulama can do together
From Trail to Ulama
When Task Completed in Trail
then Get Customer in Ulama
From Ulama to Trail
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 Trail and Ulama
Triggers and actions 5 triggers · 20 actions
- Task Completed
Triggers when a task from the chosen Trail task templates is completed at any site.
- Create Task
Creates a task at a Trail site from an automated task template, with an optional due window and description.
- Find Tasks
Returns the Trail tasks due in a date range for the chosen task templates, with their status and completion details.
- Get Scores
Returns Trail task-completion scores for each day, week or month in a date range, optionally filtered by site, area, tag or template.
- Get Task
Returns one Trail task by its ID, including its checklist, comments and tags.
- Get Task Checklists
Returns the checklist items and their completion status for the given Trail tasks.
- Get Task Comments
Returns the comments left on the given Trail tasks.
- Get Task Record Logs
Returns the record logs (recorded readings and values) for the given Trail tasks.
- List Areas
Returns all areas (groups of sites) in your Trail account.
- List Sites
Returns all sites (locations) in your Trail account.
- List Tags
Returns all tags in your Trail account.
- List Task Templates
Returns all task templates in your Trail account.
- Abandon Cart
Triggers when a customer enters their email in a Ulama checkout cart and leaves without buying.
- Complete Percentage
Triggers when a student reaches a chosen completion percentage of a Ulama course.
- New Order
Triggers when a new order is placed on a Ulama website.
- New Payment
Triggers when a new payment is received on a Ulama website.
- Create User
Creates a user on a Ulama website and sends the welcome email; returns the existing user when the email is already registered.
- Enroll User
Enrolls a user in a course on a Ulama website, with full access or as a trial for a number of days.
- Get Customer
Returns one customer's profile with their course enrollments, trials, expirations and progress, found by customer ID or email.
- List Admins
Returns the admin users of a Ulama website, with each admin's id, name and email.
- List Carts
Returns the checkout carts on a Ulama website, with each cart's id, name and pricing model.
- List Courses
Returns the courses on a Ulama website, with each course's id, title, slug and visibility.
- List Websites
Returns the websites on your Ulama account, with each website's id, slug and custom domain.
- Search User
Finds a Ulama user by email and returns their id, name and external id.
- Suspend User
Suspends a user's access to a course on a Ulama website.
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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Questions
Trail and Ulama, answered
What can start an automation from Trail?
Any of Trail's 1 trigger in the catalog, including Task Completed. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Ulama when something happens in Trail?
Any of Ulama's 9 actions, including Create User, Enroll User, Get Customer and List Admins. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Ulama to Trail?
Yes. When something happens in Ulama, your agent can act in Trail too. This page covers both directions: Ulama's triggers and Trail's actions are listed here as well.
Do I have to build a connector for Trail or Ulama?
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 Trail and Ulama 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.