Integration
Connect Amazon SageMaker and Karbon
When New Training Job fires in Amazon SageMaker, your agent runs Create Organization Contact in Karbon, or New work item in Karbon 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 Karbon 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)Example flows
What Amazon SageMaker and Karbon can do together
From Amazon SageMaker to Karbon
When New Training Job in Amazon SageMaker
then Create Organization Contact in Karbon
When New Training Job in Amazon SageMaker
then Create Person Contact in Karbon
From Karbon to Amazon SageMaker
When New work item in Karbon
then Invoke Endpoint in 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 Karbon
Triggers and actions 2 triggers · 17 actions
Trigger
New Training JobTriggers when a new SageMaker training job is created.
Action
Invoke EndpointSends input to a deployed Amazon SageMaker model endpoint and returns its prediction.
Trigger
New work itemTriggers when a new work item is created in Karbon.
Action
Add client groupCreates a new client group in Karbon, optionally with members, owner, manager and client team.
Action
Add noteCreates a note in Karbon, optionally assigned to a user and linked to work items, contacts, organizations or client groups.
Action
Add work itemCreates a new work item for a client in Karbon.
Action
Create Organization ContactCreates a new Organization contact in Karbon.
Action
Create Person ContactCreates a new person Contact in Karbon and returns the created Contact record.
Action
Find an Organization ContactFinds Organization contacts in Karbon matching a full name, email address, external key or contact type, and returns the matching organizations.
Action
Find a Person ContactFinds person contacts in Karbon by email address, full name, phone number, contact type or external key, and returns the matches.
Action
Get work itemReturns the details of a single Karbon work item, including its client, dates, status, fee settings and role assignments.
Action
List invoicesReturns the invoices in your Karbon account, optionally filtered by invoice status and sorted.
Action
List timesheetsReturns a list of timesheets from your Karbon account, optionally filtered by date, user, work item or status, with their time entries if requested.
Action
List usersReturns the users in your Karbon account, optionally filtered by name or email address.
Action
List work itemsReturns the work items in your Karbon account, optionally filtered and sorted.
Action
Update client groupRenames an existing Karbon client group by changing its full name.
Action
Update Organization ContactUpdates the name or privacy level of an existing Organization contact in Karbon.
Action
Update Person ContactUpdates the name details or privacy level of an existing Person Contact in Karbon.
Action
Update work itemUpdates a Karbon work item's title, description, dates, assignee, work type, role assignments or status. Fields left blank are not changed.
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 Karbon, 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 Karbon when something happens in Amazon SageMaker?
Any of Karbon's 16 actions, including Create Organization Contact, Create Person Contact, Update client group and Update Organization Contact. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Karbon to Amazon SageMaker?
Yes. When something happens in Karbon, your agent can act in Amazon SageMaker too. This page covers both directions: Karbon's triggers and Amazon SageMaker's actions are listed here as well.
Do I have to build a connector for Amazon SageMaker or Karbon?
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 Karbon 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.