Integration
Connect Feathery to Hamsa
When Data Received fires in Feathery, your agent runs Add knowledge base item in Hamsa. 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 Hamsa 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 can start in Hamsa
When Data Received in Feathery
then Add knowledge base item in Hamsa
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 Hamsa
Triggers and actions 2 triggers · 32 actions
- 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.
- Add knowledge base item
Create a new knowledge base item for a voice agent.
- Add phone number
Add a phone number for a user.
- Add transcription job
Create a new asynchronous job (e.g. transcription).
- Add TTS voice
Create a new text-to-speech voice.
- Add voice agent
Create a new AI voice agent.
- Assign phone number
Assign a phone number to a voice agent.
- Delete knowledge base item
Delete a knowledge base item by ID.
- Delete phone number
Delete a phone number.
- Delete TTS voice
Delete a text-to-speech voice by ID.
- Get campaign
Get a campaign by ID.
- Get conversation
Get a call conversation record by ID.
- Get job
Get a single job's details by ID.
- Get voice agent
Retrieve a specific voice agent by ID.
- Initiate voice agent call
Initiate an outbound call with a voice agent via Twilio.
- List jobs
List jobs.
- List knowledge base items
Return a list of knowledge base items.
- List phone numbers
Return a list of phone numbers for a user.
- List TTS voices
Retrieve the list of available TTS voices.
- List voice agents
Retrieve a list of the account's voice agents.
- Transcribe audio
Generate a speech-to-text transcription from audio (not streamed).
- Update voice agent
Update an existing voice agent's configuration.
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 Hamsa, 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 Hamsa when something happens in Feathery?
Any of Hamsa's 21 actions, including Update voice agent, Add knowledge base item, Add phone number and Add transcription job. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Hamsa to Feathery?
Hamsa has no triggers in the catalog today, so automations start in Feathery. If you need the other direction, ask: your agent reads Hamsa's API documentation and adds it.
Do I have to build a connector for Feathery or Hamsa?
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 Hamsa 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.