Integration
Connect BigML and Dropbox
When New project fires in BigML, your agent runs Copy File or Folder in Dropbox, or New File in Folder in Dropbox to Get Resource Status in BigML. 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 BigML and Dropbox 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)Dropbox holds the CSVs, exports and notes your team works from; BigML holds the sources, datasets and models built on them. Connecting the two means a file arriving in a Dropbox folder can prompt a look at the matching BigML sources, and a new BigML project can get its own folder, members and copied templates in Dropbox without anyone doing it by hand.
Example flows
What BigML and Dropbox can do together
From BigML to Dropbox
When New project in BigML
then Copy File or Folder in Dropbox
From Dropbox to BigML
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 BigML and Dropbox
Triggers and actions 2 triggers · 25 actions
- New project
Triggered when a new project is created in BigML. Polls the BigML projects list endpoint and emits each project, deduplicated by its resource id.
- Get Resource Status
Retrieve a BigML resource by id (source/dataset/model/prediction) to poll its status and read results.
- List Datasets
List BigML datasets, optionally filtered/paginated.
- List Models
List BigML models, optionally filtered/paginated.
- List Sources
List BigML sources, optionally filtered/paginated.
- New File in Folder
Triggers when a new file appears in the folder you choose.
- Add folder member
Invites one or more people or groups to a Dropbox shared folder with the access level you choose. The caller must be an owner or editor of the shared folder.
- Copy File or Folder
Copy a file or folder from one path to another.
- Create Folder
Create a folder at the given path.
- Create Shared Link
Create a shareable link for a file or folder.
- Delete File or Folder
Delete a file or folder at the given path.
- Download file
Download a file from the connected Dropbox account.
- Get Current Account
Get information about the connected Dropbox account.
- Get File Metadata
Get metadata for a file or folder.
- Get space usage
Returns the connected Dropbox account's storage usage and allocation.
- Get Temporary Link
Get a temporary direct-download link for a file (valid ~4 hours).
- List file revisions
Lists the revisions of a Dropbox file, newest first, by file path or file id.
- List Folder
List the contents of a folder.
- List Folder Members
Returns the members of a shared folder: users, groups and pending invitees with their access levels.
- List Shared Links
List shared links for the account, optionally filtered by path.
- Move File or Folder
Move a file or folder from one path to another.
- Restore file
Restores a specific earlier revision of a file to the given path in Dropbox.
- Revoke shared link
Revoke a Dropbox shared link so it no longer grants access.
- Search Files
Search for files and folders matching a query.
- Share folder
Share a Dropbox folder so collaborators can be added to it. Creates the folder if the path does not exist yet.
- Upload file
Uploads a file (up to 150 MiB) to a path in the connected Dropbox account.
- Upload File from URL
Save a file from a public URL directly into Dropbox at the given path.
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
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What our customers say
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Questions
BigML and Dropbox, answered
Can a file dropped into Dropbox start training a model in BigML?
Not on its own. The BigML actions here read information: they list sources, datasets and models, and retrieve a resource by id to check its status and results, so a new file in a Dropbox folder can trigger those lookups and pass what comes back to the rest of your setup.
What can happen in Dropbox when a new BigML project shows up?
The trigger fires on each new BigML project, and from there Dropbox can create a folder, share it, add members with the access level you pick, copy a template folder in, upload a file or create a shared link. The agent tests every scenario before it goes live.
What can start an automation from BigML?
Any of BigML's 1 trigger in the catalog, including New project. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Dropbox when something happens in BigML?
Any of Dropbox's 21 actions, including Add folder member, Copy File or Folder, Create Folder and Create Shared Link. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Dropbox to BigML?
Yes. When something happens in Dropbox, your agent can act in BigML too. This page covers both directions: Dropbox's triggers and BigML's actions are listed here as well.
Do I have to build a connector for BigML or Dropbox?
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 BigML and Dropbox 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.