Integration
Connect BigML and Gately
When something happens in BigML or Gately, 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 BigML and Gately 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 BigML and Gately can do together
From BigML to Gately
When New project in BigML
then Add contact in Gately
From Gately 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 Gately
Triggers and actions 2 triggers · 15 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 Member
Triggers when a new member signs up to your project.
- Add contact
Create a new CRM contact.
- Add member
Create a new project member.
- Delete contact
Permanently delete a contact and all associated data.
- Find contacts by criteria
Search/filter contacts via list endpoint query params (email, tag, list, segment).
- Get contact
Retrieve a single CRM contact by ID.
- Get member
Retrieve a single member by ID.
- List contacts
Retrieve contacts for a project with optional filtering and pagination.
- List members
Retrieve a paginated list of members in the project.
- Send email
Send a transactional email to one or more recipients.
- Update contact
Partially update a contact — only sent fields change.
- Update member
Update an existing member.
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
BigML and Gately, answered
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 Gately when something happens in BigML?
Any of Gately's 11 actions, including Send email, Update contact, Update member and Add contact. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Gately to BigML?
Yes. When something happens in Gately, your agent can act in BigML too. This page covers both directions: Gately's triggers and BigML's actions are listed here as well.
Do I have to build a connector for BigML or Gately?
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.