Integration
Connect Feathery and Featurebase
When Data Received fires in Feathery, your agent runs Create or Update Contact in Featurebase, or New Comment in Featurebase 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 Featurebase 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 Feathery and Featurebase can do together
From Feathery to Featurebase
When Data Received in Feathery
then Create or Update Contact in Featurebase
When Form Completion in Feathery
then Create Post in Featurebase
From Featurebase to Feathery
When New Comment in Featurebase
then Create or Fetch User in Feathery
When New Post in Featurebase
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 Featurebase
Triggers and actions 4 triggers · 19 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 CommentTriggers when a new comment is posted on a post or changelog.
Trigger
New PostTriggers when a new post (feature request or feedback) is created on any board.
Action
Create ChangelogCreates a changelog entry announcing a product update, as a draft or live.
Action
Create or Update ContactCreates a contact, or updates the existing one with the same email or user ID.
Action
Create PostCreates a new post (feature request or feedback) on a Featurebase board.
Action
Delete PostPermanently deletes a post.
Action
Get PostReturns one post (feature request) by its ID.
Action
List BoardsReturns all feedback boards in the workspace.
Action
Update PostUpdates a post's title, content, board, ETA or visibility.
Action
Upvote PostAdds a person as an upvoter on a post.
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 Featurebase, 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 Featurebase when something happens in Feathery?
Any of Featurebase's 8 actions, including Create Changelog, Create or Update Contact, Create Post and Update Post. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Featurebase to Feathery?
Yes. When something happens in Featurebase, your agent can act in Feathery too. This page covers both directions: Featurebase's triggers and Feathery's actions are listed here as well.
Do I have to build a connector for Feathery or Featurebase?
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 Featurebase 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.