Integration
Connect Amazon Redshift and Linkhut
When New Row fires in Amazon Redshift, your agent runs Update tag in Linkhut, or New bookmark in Linkhut to Create Rows in Amazon Redshift. 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 Linkhut 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 and Linkhut can do together
From Amazon Redshift to Linkhut
When New Row in Amazon Redshift
then Update tag in Linkhut
When Updated Row in Amazon Redshift
then List tags in Linkhut
From Linkhut to Amazon Redshift
When New bookmark in Linkhut
then Create Rows in Amazon Redshift
When New bookmark in Linkhut
then Update Rows in Amazon Redshift
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 Linkhut
Triggers and actions 3 triggers · 11 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.
Trigger
New bookmarkTriggered when a new bookmark is added.
Action
Add bookmarkAdd a new bookmark to Linkhut.
Action
Delete bookmarkDeletes a bookmark from your Linkhut account, identified by its URL.
Action
Delete tagDeletes a tag from every bookmark it is attached to.
Action
Get bookmarkGet bookmark(s) by url, hashes, tag or date.
Action
List tagsReturns every tag in the Linkhut account with the number of bookmarks using it.
Action
Update tagRename an existing tag on all of your bookmarks.
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 Linkhut, 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 Linkhut when something happens in Amazon Redshift?
Any of Linkhut's 6 actions, including Update tag, List tags, Add bookmark and Delete bookmark. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Linkhut to Amazon Redshift?
Yes. When something happens in Linkhut, your agent can act in Amazon Redshift too. This page covers both directions: Linkhut's triggers and Amazon Redshift's actions are listed here as well.
Do I have to build a connector for Amazon Redshift or Linkhut?
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 Linkhut 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.