Integration
Connect Amazon SageMaker and ChatDaddy
When New Training Job fires in Amazon SageMaker, your agent runs Add Tag / Custom Field to Contacts in ChatDaddy, or New Contact Created in ChatDaddy to Invoke Endpoint in Amazon SageMaker. 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 Amazon SageMaker and ChatDaddy 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)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
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 Amazon SageMaker and ChatDaddy can do together
From Amazon SageMaker to ChatDaddy
then Add Tag / Custom Field to Contacts in ChatDaddy
From ChatDaddy to Amazon SageMaker
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 Amazon SageMaker and ChatDaddy
Triggers and actions 3 triggers · 10 actions
- New Training Job
Triggers when a new SageMaker training job is created.
- Invoke Endpoint
Sends input to a deployed Amazon SageMaker model endpoint and returns its prediction.
- New Contact Created
Triggers when a new contact is created in ChatDaddy.
- Tag Created
Triggers when a new tag is created in ChatDaddy.
- Add Tag / Custom Field to Contacts
Adds a tag (or sets a custom-field value) on a ChatDaddy contact.
- Create Contact
Creates a ChatDaddy contact, or updates the existing contact with the same phone number.
- Create Tag
Creates a tag in ChatDaddy.
- List Channels
Returns the WhatsApp and other messaging channels connected to your ChatDaddy team.
- List Chats
Returns ChatDaddy chats, newest first, optionally only unread ones.
- List Contacts
Returns ChatDaddy contacts, optionally filtered by search text or tag.
- List Tags
Returns the tags in your ChatDaddy team.
- Send Message
Sends a WhatsApp text message to a chat through a ChatDaddy channel.
- Set Assignee of Contact
Assigns a ChatDaddy contact to a team 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
Amazon SageMaker and ChatDaddy, answered
What can start an automation from Amazon SageMaker?
Any of Amazon SageMaker's 1 trigger in the catalog, including New Training Job. Describe the moment in plain language and your agent picks the right one.
What can your agent do in ChatDaddy when something happens in Amazon SageMaker?
Any of ChatDaddy's 9 actions, including Create Contact, Create Tag, Send Message and Add Tag / Custom Field to Contacts. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from ChatDaddy to Amazon SageMaker?
Yes. When something happens in ChatDaddy, your agent can act in Amazon SageMaker too. This page covers both directions: ChatDaddy's triggers and Amazon SageMaker's actions are listed here as well.
Do I have to build a connector for Amazon SageMaker or ChatDaddy?
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 Amazon SageMaker and ChatDaddy 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.