Integration
Connect TrainAR to AI Engine
When Task Created fires in TrainAR, your agent runs Add facial repository in AI Engine. 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 TrainAR and AI Engine to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny 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)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 TrainAR can start in AI Engine
When Task Created in TrainAR
then Add facial repository in AI Engine
When Task Status Changed in TrainAR
then Analyze faces in AI Engine
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 TrainAR and AI Engine
Triggers and actions 2 triggers · 12 actions
Trigger
Task CreatedTriggers when a new operational task is created in TrainAR.
Trigger
Task Status ChangedTriggers when the status of an operational task changes in TrainAR.
Action
Create TaskCreates a new operational task in TrainAR.
Action
Find TaskReturns up to 100 tasks (newest first) that match the specified status, source, assignee and created-date range.
Action
Find UserFinds users in your TrainAR account by email address and/or name, optionally narrowed by role and status.
Action
Update Task StatusUpdates the status (and optionally other fields) of an existing task in TrainAR.
Action
Add facial repositoryCreates a new facial repository for storing and searching faces.
Action
Analyze facesAnalyzes the faces in an image and returns attributes such as estimated age, gender and emotions.
Action
Compare facesCompares the face in a source image with the faces in a target image and returns how similar they are.
Action
Detect labelsDetects and categorizes the content of an image, returning labels with confidence scores.
Action
Detect objectsDetects and locates objects in an image, returning their labels, confidence scores and bounding boxes.
Action
Detect unsafe contentChecks an image for explicit or unsafe content and returns the moderation labels with confidence scores.
Action
Extract text from imageExtracts the text found in an image (OCR), including handwriting, receipts and complex layouts in 100+ languages.
Action
Extract text from PDFExtracts the text from a PDF document, optionally limited to a range of pages.
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
TrainAR and AI Engine, answered
What can start an automation from TrainAR?
Any of TrainAR's 2 triggers in the catalog, including Task Created and Task Status Changed. Describe the moment in plain language and your agent picks the right one.
What can your agent do in AI Engine when something happens in TrainAR?
Any of AI Engine's 8 actions, including Add facial repository, Analyze faces, Compare faces and Detect labels. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from AI Engine to TrainAR?
AI Engine has no triggers in the catalog today, so automations start in TrainAR. If you need the other direction, ask: your agent reads AI Engine's API documentation and adds it.
Do I have to build a connector for TrainAR or AI Engine?
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.
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.