Integration
Connect CloudConvert to Google Cloud Vision
When Job Failed fires in CloudConvert, 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 CloudConvert and Google Cloud Vision 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 CloudConvert can start in Google Cloud Vision
When Job Failed in CloudConvert
then Check Image Safety 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 CloudConvert and Google Cloud Vision
Triggers and actions 2 triggers · 8 actions
- Job Failed
Triggers when a job failed.
- Job Finished
Triggers when a job finished.
- Capture a Website
Creates job to capture a website as PDF or create a website screenshot as JPG or PNG.
- Convert a File
Creates job to convert a file.
- Get file metadata
Extract metadata (e.g. page count, dimensions, duration) from a file (metadata operation task).
- Get job
Look up the status and results of a conversion job by ID.
- Check Image Safety
Rates an image from a web address for adult, violent, racy, medical and spoof content (SafeSearch).
- Detect Faces
Finds the faces in an image from a web address and returns, for each face, its likely emotions (joy, sorrow, anger, surprise) and detection confidence.
- Detect Labels
Analyzes an image from a web address and returns labels describing what it shows (objects, scenes, activities) with confidence scores.
- Extract Text from Image
Reads 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
CloudConvert and Google Cloud Vision, answered
What can start an automation from CloudConvert?
Any of CloudConvert's 2 triggers in the catalog, including Job Failed and Job Finished. 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 CloudConvert?
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 CloudConvert?
Google Cloud Vision has no triggers in the catalog today, so automations start in CloudConvert. 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 CloudConvert 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.
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.