Integration
Connect actiTIME to AI Engine
When New Customer fires in actiTIME, 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 actiTIME and AI Engine 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)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 actiTIME can start in AI Engine
When New Customer in actiTIME
then Add facial repository in AI Engine
When New Project in actiTIME
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 actiTIME and AI Engine
Triggers and actions 7 triggers · 22 actions
Trigger
New CustomerTriggers when a new customer is created.
Trigger
New ProjectTriggers when a new project is created.
Trigger
New TaskTriggers when a new task is created.
Trigger
New UserTriggers when a new user is created.
Trigger
Updated Leave TimeTriggers when the user's leave time is changed.
Trigger
Updated TaskTriggers when an existing task is changed.
Trigger
Updated Time-TrackTriggers when the user's working time is changed.
Action
Create CustomerCreates a new customer.
Action
Create ProjectCreates a new project.
Action
Create TaskCreates a new task.
Action
Create Usercreates a user account (firstName, lastName, email, username, password required; optional middleName, active, hired, releaseDate, departmentId, timeZoneGroupId).
Action
Find CustomerFinds the customer by name.
Action
Find ProjectFinds project by name
Action
Find TaskFinds the task by name.
Action
Get Time-TrackReturns one time-track record (taskId, time, comment)
Action
List Leave TimeLists leave-time records (userId, date, leaveTypeId, leaveTime)
Action
Modify Leave TimeModifies the leave time record by replacing the existing value with a specified one.
Action
Modify Leave Time (Increase Time)Modifies the leave time record by increasing the existing value by a specified value.
Action
Modify Time-TrackModifies the time-track record by replacing the existing value with a specified one (along with the time-track record comment).
Action
Modify Time-Track (Increase Time)Modifies the time-track record by increasing the existing value by a specified value.
Action
Update Taskupdates a task's name, description, status/workflowStatusId, projectId, typeOfWorkId, deadline or estimatedTime.
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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More into AI Engine
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Questions
actiTIME and AI Engine, answered
What can start an automation from actiTIME?
Any of actiTIME's 7 triggers in the catalog, including New Customer, New Project, New Task and New User. 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 actiTIME?
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 actiTIME?
AI Engine has no triggers in the catalog today, so automations start in actiTIME. 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 actiTIME 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.
Can my AI client use actiTIME and AI Engine 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.