Integration
Connect Amazon Redshift and Openlayer
When New Row fires in Amazon Redshift, your agent runs Publish Record in Openlayer, or New Project in Openlayer 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 Openlayer 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 Openlayer can do together
From Amazon Redshift to Openlayer
When New Row in Amazon Redshift
then Publish Record in Openlayer
When Updated Row in Amazon Redshift
then Create Project in Openlayer
From Openlayer to Amazon Redshift
When New Project in Openlayer
then Create Rows in Amazon Redshift
When New Test Result in Openlayer
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 Openlayer
Triggers and actions 4 triggers · 27 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 ProjectTriggers when a new project is created in your Openlayer workspace.
Trigger
New Test ResultTriggers when a new test result is available for a data source. Useful for alerting on passing or failing model tests.
Action
Create Data SourceCreates a new data source in a project for streaming production data to Openlayer.
Action
Create ProjectCreates a new AI or ML project in your Openlayer workspace.
Action
Create TestCreates a data quality test in a project. Checks for duplicate rows, null values, or row counts.
Action
Delete Inference PipelineDelete an inference pipeline by its ID.
Action
Delete ProjectDelete a project by its ID.
Action
Delete TestDelete a test by its ID.
Action
Evaluate TestEvaluates a test for a specific time range. Use after publishing records to get immediate results.
Action
Find Data SourceFinds a data source (inference pipeline) by name in a project.
Action
Find ProjectFinds a project by name in your Openlayer workspace.
Action
Find Test ResultFinds test results for a data source, including whether each test passed or failed. Filter by outcome or test type to branch an automation on the result.
Action
Get Inference PipelineRetrieve the details around a specific inference pipeline.
Action
Get ProjectRetrieves one project by its id. Openlayer has no single-project endpoint, so this reads the workspace's first 100 projects and returns the one matching the id.
Action
Get TestRetrieve a test by ID.
Action
Get Test ResultRetrieves one test result by its id. Openlayer has no single-result endpoint, so this reads the data source's 100 most recent results and returns the matching one.
Action
List Inference PipelinesList the authenticated user's inference pipelines under a project.
Action
List ProjectsLists the projects in your Openlayer workspace, optionally narrowed to one kind of project. Returns up to 100 projects.
Action
List Test ResultsList all results for a test/goal under an inference pipeline.
Action
List TestsLists the tests in a project, optionally narrowed by kind, archived state or monitoring mode. Returns up to 100 tests.
Action
Publish RecordPublishes an LLM inference record to a data source for monitoring. Streams the model input, output, and metadata to Openlayer.
Action
Update Inference PipelineUpdate an inference pipeline.
Action
Update ProjectUpdate a project.
Action
Update TestUpdate a test (partial updates allowed).
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 Openlayer, 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 Openlayer when something happens in Amazon Redshift?
Any of Openlayer's 22 actions, including Create Data Source, Create Project, Create Test and Update Inference Pipeline. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Openlayer to Amazon Redshift?
Yes. When something happens in Openlayer, your agent can act in Amazon Redshift too. This page covers both directions: Openlayer's triggers and Amazon Redshift's actions are listed here as well.
Do I have to build a connector for Amazon Redshift or Openlayer?
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 Openlayer 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.