Integration
Connect Federal Register and Snowflake
When New document fires in Federal Register, your agent runs Create Rows in Snowflake, or New Column in Snowflake to Get issue in Federal Register. 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 Federal Register and Snowflake to do together?
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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 Federal Register and Snowflake can do together
From Federal Register to Snowflake
When New document in Federal Register
then Create Rows in Snowflake
From Snowflake to Federal Register
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 Federal Register and Snowflake
Triggers and actions 6 triggers · 12 actions
- New document
Polling trigger that fires when a new Federal Register document is published.
- Find documents
Search all Federal Register documents published since 1994 by term, agency, document type, publication/effective date, and docket number.
- Find public inspection documents
Search public inspection documents currently scheduled for future publication.
- Get agency
Fetch a particular agency's details by slug.
- Get document
Fetch a single Federal Register document by document_number, returning its full text and metadata.
- Get issue
Fetch a document table of contents for the print edition based on publication_date.
- Get public inspection document
Fetch a single public inspection document by document_number.
- List agencies
Fetch all agency details known to the Federal Register.
- 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
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Questions
Federal Register and Snowflake, answered
What can start an automation from Federal Register?
Any of Federal Register's 1 trigger in the catalog, including New document. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Snowflake when something happens in Federal Register?
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 Federal Register?
Yes. When something happens in Snowflake, your agent can act in Federal Register too. This page covers both directions: Snowflake's triggers and Federal Register's actions are listed here as well.
Do I have to build a connector for Federal Register 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 Federal Register 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.