Integration
Connect Azure Key Vault and Snowflake
When New Secret fires in Azure Key Vault, your agent runs Create Rows in Snowflake, or New Column in Snowflake to Update Secret Properties in Azure Key Vault. 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 Azure Key Vault and Snowflake 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 Azure Key Vault and Snowflake can do together
From Azure Key Vault to Snowflake
When New Secret in Azure Key Vault
then Create Rows in Snowflake
From Snowflake to Azure Key Vault
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 Azure Key Vault and Snowflake
Triggers and actions 6 triggers · 13 actions
- New Secret
Triggers when a new secret is added to your key vault.
- Delete Secret
Deletes a secret and all its versions. If the vault has soft-delete on, the secret can still be recovered until it is purged.
- Get Deleted Secret
Returns the details of a secret that was deleted but not yet purged, including when it will be permanently removed.
- Get Secret
Returns a secret's value and details, either the latest version or a specific one.
- List Secrets
Returns the secrets in your key vault with their details (not their values).
- Purge Deleted Secret
Permanently removes a deleted secret so it cannot be recovered and its name can be reused.
- Recover Deleted Secret
Restores a deleted secret, with all its versions, before it is purged.
- Set Secret
Stores a secret in your key vault. If a secret with that name already exists, a new version of it is created.
- Update Secret Properties
Changes a secret's settings (enabled, content type, expiry, tags) without changing its value.
- New Column
Triggers when a new column is added to a table in the chosen Snowflake database, optionally limited to one schema or table.
- New or Updated Row
Triggers when a row is added to or changed in a Snowflake table, checking the most recently updated rows by a timestamp column you choose.
- New Row
Triggers when a new row is added to a Snowflake table.
- New Table
Triggers when a new table is created in a Snowflake database.
- New View
Triggers when a new view is created in the selected Snowflake database (optionally limited to one schema).
- Create Rows
Inserts one or more rows into a Snowflake table.
- Delete Rows
Deletes every row in a Snowflake table whose chosen column equals the value you supply.
- Execute SQL
Runs a SQL statement in Snowflake and returns its result rows and column metadata.
- Find Row
Finds the first row in a Snowflake table whose chosen column equals a given value and returns its column values.
- Update Rows
Updates a column's value on every row in a Snowflake table whose match column equals the given 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
Reviews
What our customers say
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More into Snowflake
Questions
Azure Key Vault and Snowflake, answered
What can start an automation from Azure Key Vault?
Any of Azure Key Vault'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 Snowflake when something happens in Azure Key Vault?
Any of Snowflake's 5 actions, including Create Rows, Update Rows, Execute SQL and Find Row. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Snowflake to Azure Key Vault?
Yes. When something happens in Snowflake, your agent can act in Azure Key Vault too. This page covers both directions: Snowflake's triggers and Azure Key Vault's actions are listed here as well.
Do I have to build a connector for Azure Key Vault or Snowflake?
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 Azure Key Vault and Snowflake 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.