Integration
Connect Snowflake to Universalis
When New Column fires in Snowflake, your agent runs List most recently updated items in Universalis. 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 Snowflake and Universalis 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 Snowflake can start in Universalis
When New Column in Snowflake
then List most recently updated items in Universalis
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 Snowflake and Universalis
Triggers and actions 5 triggers · 12 actions
- 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.
- Get aggregated market data
Retrieve cached aggregated market board data (average sale price, daily sale velocity) for up to 100 comma-separated item IDs on a world, data center, or region.
- Get market history
Retrieve recent sale history for one or more item IDs on a given world, data center, or region.
- Get market listings
Retrieve the data currently shown on the market board for one or more item IDs on a given world, data center, or region.
- Get tax rates
Retrieve the current retainer market board tax rate data for the specified world, provided by the Retainer Vocate in each major city.
- List data centers
Return all data centers (groups of worlds) supported by the API.
- List most recently updated items
Get the most-recently updated items on the specified world or data center, along with the upload time for each item.
- List worlds
Return the IDs and names of all game worlds (servers) supported by the API.
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
Snowflake and Universalis, answered
What can start an automation from Snowflake?
Any of Snowflake's 5 triggers in the catalog, including New Column, New or Updated Row, New Row and New Table. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Universalis when something happens in Snowflake?
Any of Universalis's 7 actions, including List most recently updated items, Get aggregated market data, Get market history and Get market listings. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Universalis to Snowflake?
Universalis has no triggers in the catalog today, so automations start in Snowflake. If you need the other direction, ask: your agent reads Universalis's API documentation and adds it.
Do I have to build a connector for Snowflake or Universalis?
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 Snowflake and Universalis 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.