Integration
Connect Urable to Google Cloud Vision
When Completed Job fires in Urable, your agent runs Check Image Safety in Google Cloud Vision. 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 Urable and Google Cloud Vision 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 Urable can start in Google Cloud Vision
When Completed Job in Urable
then Check Image Safety in Google Cloud Vision
When New Customer in Urable
then Detect Faces in Google Cloud Vision
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 Urable and Google Cloud Vision
Triggers and actions 9 triggers · 5 actions
Trigger
Completed JobTriggers when a job in Urable is marked completed.
Trigger
Fulfilled OrderTriggers when an order in Urable is marked fulfilled.
Trigger
New CustomerTriggers when a new customer is added in Urable.
Trigger
New EventTriggers when a new event (meeting, consultation, reminder, time off, etc.) is created in Urable.
Trigger
New JobTriggers when a new job is created in Urable.
Trigger
New or Updated CustomerTriggers when a customer is added or an existing customer's details change in Urable.
Trigger
New or Updated EventTriggers when an event (meeting, consultation, reminder, time off and so on) is created or modified in Urable.
Trigger
New or Updated JobTriggers when a job is created or updated in Urable.
Trigger
Paid OrderTriggers when an order in Urable is marked paid, newest paid first.
Action
List customersReturns the customers in your Urable account, optionally only those matching an email address.
Action
Check Image SafetyRates an image from a web address for adult, violent, racy, medical and spoof content (SafeSearch).
Action
Detect FacesFinds the faces in an image from a web address and returns, for each face, its likely emotions (joy, sorrow, anger, surprise) and detection confidence.
Action
Detect LabelsAnalyzes an image from a web address and returns labels describing what it shows (objects, scenes, activities) with confidence scores.
Action
Extract Text from ImageReads the text in an image from a web address (OCR) and returns the full text found.
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
Urable and Google Cloud Vision, answered
What can start an automation from Urable?
Any of Urable's 9 triggers in the catalog, including Completed Job, New Customer, New Event and New Job. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Google Cloud Vision when something happens in Urable?
Any of Google Cloud Vision's 4 actions, including Check Image Safety, Detect Faces, Detect Labels and Extract Text from Image. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Google Cloud Vision to Urable?
Google Cloud Vision has no triggers in the catalog today, so automations start in Urable. If you need the other direction, ask: your agent reads Google Cloud Vision's API documentation and adds it.
Do I have to build a connector for Urable or Google Cloud Vision?
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 Urable and Google Cloud Vision 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.