Integration
Connect CloudConvert to Google Gemini
When Job Failed fires in CloudConvert, your agent runs Count Tokens in Google Gemini. 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 Gemini 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)CloudConvert turns files into the formats you need, and Google Gemini tells you how a chosen model will handle the text that comes out. Joining them means a finished or failed conversion in CloudConvert can pull job details and file metadata, then get a token count or a model list from Google Gemini without anyone opening either tool.
Example flows
What CloudConvert can start in Google Gemini
When Job Failed in CloudConvert
then Count Tokens in Google Gemini
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 Gemini
Triggers and actions 2 triggers · 6 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.
- Count Tokens
Returns how many tokens a piece of text uses for a chosen Gemini model.
- List Models
Returns the Gemini models available to your API key, with their limits and capabilities.
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 Gemini, answered
Can something in Google Gemini start one of these setups?
No, the triggers here all live in CloudConvert: a job finishing or a job failing. Google Gemini takes part through its actions, counting tokens for a piece of text or listing the models your API key can reach.
What happens after I describe what I want?
The agent builds the connection from the CloudConvert trigger and the actions you named, then tests every scenario, including a job that finishes and a job that fails. Once it runs clean, it stays running and you can adjust the wording later.
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 Gemini when something happens in CloudConvert?
Any of Google Gemini's 2 actions, including Count Tokens and List Models. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Google Gemini to CloudConvert?
Google Gemini has no triggers in the catalog today, so automations start in CloudConvert. If you need the other direction, ask: your agent reads Google Gemini's API documentation and adds it.
Do I have to build a connector for CloudConvert or Google Gemini?
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 CloudConvert and Google Gemini 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.