Integration
Connect Feathery and Vast.ai
When Data Received fires in Feathery, your agent runs Get Current User in Vast.ai, or New Matching Offer in Vast.ai to Create or Fetch User in Feathery. 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 Feathery and Vast.ai 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)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
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 Feathery and Vast.ai can do together
From Feathery to Vast.ai
When Data Received in Feathery
then Get Current User in Vast.ai
When Form Completion in Feathery
then Search Benchmarks in Vast.ai
From Vast.ai to Feathery
When New Matching Offer in Vast.ai
then Create or Fetch User in Feathery
When New Matching Offer in Vast.ai
then Get User Field Data in Feathery
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 Feathery and Vast.ai
Triggers and actions 3 triggers · 15 actions
Trigger
Data ReceivedTriggers when an end user submits or updates data on a Feathery form.
Trigger
Form CompletionTriggers when an end user completes a Feathery form.
Action
Create Hidden FieldCreates a hidden field in your Feathery account.
Action
Create or Fetch UserCreates a Feathery end user with the given ID, or returns the existing user, including its SDK key.
Action
Create or Update SubmissionSets field values for a Feathery user and initializes submissions on the given forms.
Action
Delete UserDeletes a Feathery end user and their submissions.
Action
Get User Field DataReturns every field value a Feathery user submitted across forms.
Action
Get User Form SessionReturns a Feathery user's form session: every form they are working on and their progress.
Action
List Document TemplatesReturns document templates uploaded by your Feathery team, optionally filtered by name or tags.
Action
List FormsReturns your Feathery forms, optionally filtered by tags or active status.
Action
List Form SubmissionsReturns submissions for a Feathery form, optionally filtered by user, completion and update time.
Action
List Hidden FieldsReturns all hidden fields in your Feathery account.
Action
List UsersReturns your Feathery end users, optionally filtered by creation time or a field value.
Trigger
New Matching OfferTriggers when a new GPU machine offer appears on the Vast.ai marketplace that matches your filters (GPU model, price, reliability, location and more).
Action
Get Current UserReturns the profile of the Vast.ai user the connected API key belongs to, including email and account balance.
Action
Search BenchmarksReturns Vast.ai benchmark results matching a search query, such as machines scoring above a threshold.
Action
Search OffersSearches available Vast.ai GPU machine offers, filtered by GPU model, count, price, reliability, location and other hardware specs, and returns the matching offers.
Action
Search TemplatesSearches your own and publicly shared Vast.ai templates matching filter conditions, returning the matching templates.
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
Feathery and Vast.ai, answered
What can start an automation from Feathery?
Any of Feathery's 2 triggers in the catalog, including Data Received and Form Completion. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Vast.ai when something happens in Feathery?
Any of Vast.ai's 4 actions, including Get Current User, Search Benchmarks, Search Offers and Search Templates. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Vast.ai to Feathery?
Yes. When something happens in Vast.ai, your agent can act in Feathery too. This page covers both directions: Vast.ai's triggers and Feathery's actions are listed here as well.
Do I have to build a connector for Feathery or Vast.ai?
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 Feathery and Vast.ai 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.