Integration
Connect CloudConvert and PyPI
When something happens in CloudConvert or PyPI, your agent does the next thing in the other. Describe it 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 PyPI 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 and PyPI can do together
From CloudConvert to PyPI
When Job Failed in CloudConvert
then Get package in PyPI
From PyPI to CloudConvert
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 PyPI
Triggers and actions 4 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.
- New package
Fires when a new package is published to PyPI, via the site-wide newest-packages RSS feed (/rss/packages.xml).
- New release
Fires when a watched PyPI package publishes a new release, via that package's release RSS feed (/rss/project/{name}/releases.xml).
- Get package
Look up a PyPI package's latest metadata, release list, and project URLs.
- Get release
Look up metadata for one specific version of a PyPI package, including its files and known vulnerabilities.
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 PyPI, 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 PyPI when something happens in CloudConvert?
Any of PyPI's 2 actions, including Get package and Get release. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from PyPI to CloudConvert?
Yes. When something happens in PyPI, your agent can act in CloudConvert too. This page covers both directions: PyPI's triggers and CloudConvert's actions are listed here as well.
Do I have to build a connector for CloudConvert or PyPI?
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.