Integration
Connect CloudConvert to Mongo
When Job Failed fires in CloudConvert, your agent runs Add database user in Mongo. 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 Mongo 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 Mongo
When Job Failed in CloudConvert
then Add database user in Mongo
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 Mongo
Triggers and actions 2 triggers · 10 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.
- Add database user
Creates a database user in a MongoDB Atlas project with the roles, scopes and authentication method you choose.
- Delete database user
Removes a database user from an Atlas project.
- List alerts
Returns the alerts in one Atlas project, optionally limited to open, tracking or closed alerts.
- List clusters
Returns all clusters in one Atlas project, with each cluster's configuration, state and connection strings.
- List database users
Returns all database users that belong to an Atlas project, including their roles and authentication settings.
- List projects
Returns all MongoDB Atlas projects the connected account can access, with each project's name, id, organization and cluster count.
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 Mongo, 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 Mongo when something happens in CloudConvert?
Any of Mongo's 6 actions, including Add database user, List alerts, List clusters and List database users. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Mongo to CloudConvert?
Mongo has no triggers in the catalog today, so automations start in CloudConvert. If you need the other direction, ask: your agent reads Mongo's API documentation and adds it.
Do I have to build a connector for CloudConvert or Mongo?
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.