Integration
Connect Amazon Redshift to Octane AI
When New Row fires in Amazon Redshift, your agent runs Add experiment in Octane AI. 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 Redshift and Octane AI 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 Redshift can start in Octane AI
When New Row in Amazon Redshift
then Add experiment in Octane AI
When Updated Row in Amazon Redshift
then Add export in Octane AI
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 Redshift and Octane AI
Triggers and actions 2 triggers · 16 actions
Trigger
New RowTriggers when a new row is added to an Amazon Redshift table.
Trigger
Updated RowTriggers when a row in an Amazon Redshift table is added or changed, based on its updated-time column.
Action
Create RowsAdds a row to an Amazon Redshift table.
Action
Delete RowsDeletes the rows in an Amazon Redshift table that match a condition.
Action
Find RowsFinds rows in an Amazon Redshift table that match a condition.
Action
Query DatabaseRuns one SQL statement on your Amazon Redshift database and returns any rows it produces.
Action
Update RowsUpdates the rows in an Amazon Redshift table that match a condition.
Action
Add experimentCreates a draft A/B experiment on a quiz, testing a saved version against the live version.
Action
Add exportRequests a new export of shopper profiles, quiz responses or quiz analytics. Returns the queued export, whose download link becomes available once it completes.
Action
Delete quizSoft-deletes a quiz in your Octane AI store.
Action
Get quizReturns a quiz's summary and structure: its pages in order, their content components, rules and jumps, and the scoring dimensions. An error occurs if the quiz is not found.
Action
Get quiz analytics overviewReturns a quiz's analytics for a date range: daily views, starts, completions, opt-ins, orders and revenue, with totals and publish markers.
Action
Get shopper profileReturns one shopper profile: their emails and phones, latest quiz answers and results, quiz sessions and linked orders.
Action
Get store analytics overviewReturns store-wide quiz analytics for a date range: daily views, starts, completions, opt-ins, orders and revenue, plus totals and rates.
Action
List experimentsReturns the A/B experiments across the store, newest first, with each experiment's status, decision settings and arms.
Action
List quizzesReturns the store's quizzes with their name, status, archive state and published version.
Action
List shopper profilesReturns the store's shopper profiles, most recently seen first, optionally narrowed by a search term, a quiz or a date range.
Action
Publish quiz versionPublishes a saved version of a quiz so shoppers see it. Publishing an older version rolls the live quiz back; the draft is unchanged.
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 Redshift and Octane AI, answered
What can start an automation from Amazon Redshift?
Any of Amazon Redshift's 2 triggers in the catalog, including New Row and Updated Row. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Octane AI when something happens in Amazon Redshift?
Any of Octane AI's 11 actions, including Add experiment, Add export, Get quiz and Get quiz analytics overview. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Octane AI to Amazon Redshift?
Octane AI has no triggers in the catalog today, so automations start in Amazon Redshift. If you need the other direction, ask: your agent reads Octane AI's API documentation and adds it.
Do I have to build a connector for Amazon Redshift or Octane AI?
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 Redshift and Octane AI 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.