Integration
Connect CNBC and TrainAR
When something happens in CNBC or TrainAR, 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 CNBC and TrainAR 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 CNBC and TrainAR can do together
From CNBC to TrainAR
When New Top Story in CNBC
then Create Task in TrainAR
When New Top Story in CNBC
then Update Task Status in TrainAR
From TrainAR to CNBC
When Task Created in TrainAR
then Top Stories in CNBC
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 CNBC and TrainAR
Triggers and actions 3 triggers · 5 actions
Trigger
New Top StoryFires when a new story is published in a CNBC category feed.
Action
Top StoriesFetch the latest CNBC stories for a news category, optionally filtered by search text.
Trigger
Task CreatedTriggers when a new operational task is created in TrainAR.
Trigger
Task Status ChangedTriggers when the status of an operational task changes in TrainAR.
Action
Create TaskCreates a new operational task in TrainAR.
Action
Find TaskReturns up to 100 tasks (newest first) that match the specified status, source, assignee and created-date range.
Action
Find UserFinds users in your TrainAR account by email address and/or name, optionally narrowed by role and status.
Action
Update Task StatusUpdates the status (and optionally other fields) of an existing task in TrainAR.
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
CNBC and TrainAR, answered
What can start an automation from CNBC?
Any of CNBC's 1 trigger in the catalog, including New Top Story. Describe the moment in plain language and your agent picks the right one.
What can your agent do in TrainAR when something happens in CNBC?
Any of TrainAR's 4 actions, including Create Task, Update Task Status, Find Task and Find User. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from TrainAR to CNBC?
Yes. When something happens in TrainAR, your agent can act in CNBC too. This page covers both directions: TrainAR's triggers and CNBC's actions are listed here as well.
Do I have to build a connector for CNBC or TrainAR?
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.