Integration
Connect Airtable and Feathery
When New or Updated Record fires in Airtable, your agent runs Create or Fetch User in Feathery, or Data Received in Feathery to Add Comment to Record in Airtable. 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 Airtable and Feathery 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 Airtable and Feathery can do together
From Airtable to Feathery
When New or Updated Record in Airtable
then Create or Fetch User in Feathery
From Feathery to Airtable
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 Airtable and Feathery
Triggers and actions 4 triggers · 25 actions
- New or Updated Record
Triggers when a record is created or updated.
- New Record
Triggers when a new record is created or new or existing records when first added to a selected view.
- Add Comment to Record
Add a comment to an existing record in Airtable.
- Create Base
Create a new Airtable base in your workspace.
- Create or Update Record
Find and update an existing record, or create a new one.
- Create Record
Creates a new record with auto-populating fields.
- Create Table
Create a new table in an existing Airtable base.
- Delete Record
Delete a record in a table.
- Find Record
Find a record in a table.
- Find Record by ID
Find a specific record using its unique ID.
- Find Table
Find tables by searching for a keyword in table name or description.
- Get All Records
List all records from a table with pagination support.
- Get Base Schema
Retrieve the complete schema for a base, including all tables and their field definitions.
- List bases
Lists every Airtable base the connected account can see. Takes no search criterion.
- Update Multiple Records
Update up to 10 records at once in a specific table.
- Update Record
Update a record in a specific table.
- Data Received
Triggers when an end user submits or updates data on a Feathery form.
- Form Completion
Triggers when an end user completes a Feathery form.
- Create Hidden Field
Creates a hidden field in your Feathery account.
- Create or Fetch User
Creates a Feathery end user with the given ID, or returns the existing user, including its SDK key.
- Create or Update Submission
Sets field values for a Feathery user and initializes submissions on the given forms.
- Delete User
Deletes a Feathery end user and their submissions.
- Get User Field Data
Returns every field value a Feathery user submitted across forms.
- Get User Form Session
Returns a Feathery user's form session: every form they are working on and their progress.
- List Document Templates
Returns document templates uploaded by your Feathery team, optionally filtered by name or tags.
- List Forms
Returns your Feathery forms, optionally filtered by tags or active status.
- List Form Submissions
Returns submissions for a Feathery form, optionally filtered by user, completion and update time.
- List Hidden Fields
Returns all hidden fields in your Feathery account.
- List Users
Returns your Feathery end users, optionally filtered by creation time or a field 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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Questions
Airtable and Feathery, answered
What can start an automation from Airtable?
Any of Airtable's 2 triggers in the catalog, including New or Updated Record and New Record. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Feathery when something happens in Airtable?
Any of Feathery's 11 actions, including Create Hidden Field, Create or Fetch User, Create or Update Submission and Get User Field Data. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Feathery to Airtable?
Yes. When something happens in Feathery, your agent can act in Airtable too. This page covers both directions: Feathery's triggers and Airtable's actions are listed here as well.
Do I have to build a connector for Airtable or Feathery?
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 Airtable and Feathery 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.