Integration
Connect Gately to AI Engine
When New Member fires in Gately, 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 Gately 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 Gately can start in AI Engine
When New Member in Gately
then Add facial repository in AI Engine
When New Member in Gately
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 Gately and AI Engine
Triggers and actions 1 trigger · 19 actions
Trigger
New MemberTriggers when a new member signs up to your project.
Action
Add contactCreate a new CRM contact.
Action
Add memberCreate a new project member.
Action
Delete contactPermanently delete a contact and all associated data.
Action
Find contacts by criteriaSearch/filter contacts via list endpoint query params (email, tag, list, segment).
Action
Get contactRetrieve a single CRM contact by ID.
Action
Get memberRetrieve a single member by ID.
Action
List contactsRetrieve contacts for a project with optional filtering and pagination.
Action
List membersRetrieve a paginated list of members in the project.
Action
Send emailSend a transactional email to one or more recipients.
Action
Update contactPartially update a contact — only sent fields change.
Action
Update memberUpdate an existing member.
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
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Questions
Gately and AI Engine, answered
What can start an automation from Gately?
Any of Gately's 1 trigger in the catalog, including New Member. 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 Gately?
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 Gately?
AI Engine has no triggers in the catalog today, so automations start in Gately. 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 Gately 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 Gately 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.