Integration
Connect Amazon Secrets Manager and Oracle Database
When New Secret fires in Amazon Secrets Manager, your agent runs Add Row in Oracle Database, or New Column in Oracle Database to Create Secret in Amazon Secrets Manager. 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 Secrets Manager and Oracle Database 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 Secrets Manager and Oracle Database can do together
From Amazon Secrets Manager to Oracle Database
When New Secret in Amazon Secrets Manager
then Add Row in Oracle Database
When New Secret in Amazon Secrets Manager
then Update Row in Oracle Database
From Oracle Database to Amazon Secrets Manager
When New Column in Oracle Database
then Create Secret in Amazon Secrets Manager
When New or Updated Row in Oracle Database
then Update Secret Value in Amazon Secrets Manager
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 Secrets Manager and Oracle Database
Triggers and actions 6 triggers · 12 actions
Trigger
New SecretTriggers when a new secret is created in the account.
Action
Create SecretCreates a new secret holding a text value, such as an API key or password.
Action
Delete SecretDeletes a secret, either after a recovery window or immediately.
Action
Find SecretsReturns the secrets in the account, optionally filtered by name, without their values.
Action
Get Secret ValueReturns the current value of a secret by its name or ARN.
Action
Update Secret ValueStores a new value for an existing secret; the new value becomes the current version.
Trigger
New ColumnFires when a new column appears on an Oracle table you choose.
Trigger
New or Updated RowTriggers when a new row is added or modified.
Trigger
New or Updated Row (Custom Query)Fires for each new or changed row returned by a SELECT statement you write against the connected Oracle database.
Trigger
New RowTriggers when you add a new row.
Trigger
New TableFires when a new table appears in the connected Oracle user's own schema.
Action
Add RowAdd one row to a table on the connected Oracle database.
Action
Delete RowDelete the rows in a table whose chosen column equals a value.
Action
Find RowFind the first row in a table whose chosen column matches a value.
Action
Find Rows via Custom QueryRuns a SELECT statement you write against the connected Oracle database and returns every row it matches.
Action
Find Row via Custom QueryRuns a SELECT statement you write against the connected Oracle database and returns the first row it matches.
Action
Run Custom StatementRuns a statement you write against the connected Oracle database that changes data rather than returning rows, and reports how many rows it changed.
Action
Update RowChange column values on every row of a table whose chosen column matches a value.
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
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Questions
Amazon Secrets Manager and Oracle Database, answered
What can start an automation from Amazon Secrets Manager?
Any of Amazon Secrets Manager's 1 trigger in the catalog, including New Secret. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Oracle Database when something happens in Amazon Secrets Manager?
Any of Oracle Database's 7 actions, including Update Row, Add Row, Find Row and Find Rows via Custom Query. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Oracle Database to Amazon Secrets Manager?
Yes. When something happens in Oracle Database, your agent can act in Amazon Secrets Manager too. This page covers both directions: Oracle Database's triggers and Amazon Secrets Manager's actions are listed here as well.
Do I have to build a connector for Amazon Secrets Manager or Oracle Database?
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 Secrets Manager and Oracle Database 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.