Integration
Connect Amazon Redshift and Process Street
When New Row fires in Amazon Redshift, your agent runs Create Data Set Record in Process Street, or Data Set Record Created in Process Street 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 Process Street 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 Process Street can do together
From Amazon Redshift to Process Street
When New Row in Amazon Redshift
then Create Data Set Record in Process Street
When Updated Row in Amazon Redshift
then Update Data Set Record in Process Street
From Process Street to Amazon Redshift
When Data Set Record Created in Process Street
then Create Rows in Amazon Redshift
When Data Set Record Updated in Process Street
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 Process Street
Triggers and actions 9 triggers · 15 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
Data Set Record CreatedTriggers when a new record is added to a data set.
Trigger
Data Set Record UpdatedTriggers when an existing record is updated in a data set.
Trigger
New CommentTriggers when a new comment is posted on a task in a workflow, or in a specific workflow run.
Trigger
New Comment AttachmentTriggers when someone attaches a file to a comment in a workflow run.
Trigger
New Task CheckedTriggers when a task is checked off in a workflow.
Trigger
New Workflow RunTriggers when a workflow is run.
Trigger
Task ReadyTriggers when a task is ready to be worked on.
Action
Create Data Set RecordAdds a new record to a data set.
Action
Delete Data Set RecordDeletes an existing record in a data set.
Action
Find Data Set RecordsSearch for data set records by form fields.
Action
Find Workflow RunSearch for a workflow run by ID, name, form fields, and other attributes.
Action
List Workflow Run Taskslists all tasks (id, name, status, dueDate) in one workflow run. Read-only; supplies the task id the Update Task action needs.
Action
List WorkflowsLists the workflows in your Process Street organization.
Action
Run WorkflowRuns a workflow.
Action
Update Data Set RecordUpdates an existing record in a data set.
Action
Update TaskUpdate a task in a workflow run.
Action
Update Workflow RunUpdate an existing workflow run.
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 Process Street, 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 Process Street when something happens in Amazon Redshift?
Any of Process Street's 10 actions, including Create Data Set Record, Update Data Set Record, Update Task and Update Workflow Run. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Process Street to Amazon Redshift?
Yes. When something happens in Process Street, your agent can act in Amazon Redshift too. This page covers both directions: Process Street's triggers and Amazon Redshift's actions are listed here as well.
Do I have to build a connector for Amazon Redshift or Process Street?
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 Process Street 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.