Integration
Connect Feathery and Speak Ai
When Data Received fires in Feathery, your agent runs Update Text Note in Speak Ai, or New Magic Prompts Response in Speak 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 Speak 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 Speak Ai can do together
From Feathery to Speak Ai
When Data Received in Feathery
then Update Text Note in Speak Ai
When Form Completion in Feathery
then Upload File to Transcribe and Analyze in Speak Ai
From Speak Ai to Feathery
When New Magic Prompts Response in Speak Ai
then Create or Fetch User in Feathery
When New Magic Prompts Response in Speak 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 Speak Ai
Triggers and actions 3 triggers · 34 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 Magic Prompts ResponseFires when Speak AI finishes answering an AI Chat (Magic Prompt) and delivers the final answer.
Action
Add AutomationCreate a new Speak AI automation.
Action
Add FieldCreates a new custom field in your Speak AI account.
Action
Add FolderCreate a new folder to organize media, text notes, and recordings.
Action
Ask AI ChatAsk a question about one or more media items or a folder and get the AI chat answer back.
Action
Delete AutomationDelete an automation.
Action
Delete FolderDelete a folder.
Action
Delete MediaDelete a media file from Speak AI.
Action
Delete Text NoteDelete a text note.
Action
Get Media InsightsLoads the analysis results (transcript, keywords, topics, sentiment, named entities, summary) for a Speak AI audio or video file.
Action
Get Media StatusGets the processing status and basic details of a Speak AI audio or video file.
Action
Get Media TranscriptGet the transcript of a media file.
Action
Get Text Note InsightGets the analysis insights (keywords, entities, intents, sentiment) for a Speak AI text note.
Action
List AutomationsList the automations (trigger + action workflows) configured in Speak AI.
Action
List FieldsLists the custom fields defined in your Speak AI account.
Action
List FoldersList the folders in the account.
Action
List MediaList the media files (audio/video) in the account's Speak AI library.
Action
Run Magic PromptRuns a Magic Prompt (Speak AI's AI Chat) against your media, folders or fields and returns the AI's answer.
Action
Update AutomationUpdates an existing Speak AI automation: its name, trigger, steps, schedule and active state.
Action
Update FolderUpdate a folder's name or settings.
Action
Update MediaRename a Speak AI media file and update its description, tags, folder, assignee, note, status or creation date.
Action
Update Text NoteUpdate the content of an existing text note.
Action
Upload File to Transcribe and AnalyzeUploads new audio or video files for automatic transcription and analysis.
Action
Upload Text Note to AnalyzeUploads new text notes for automatic insight analysis.
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
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Questions
Feathery and Speak 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 Speak Ai when something happens in Feathery?
Any of Speak Ai's 23 actions, including Update Automation, Update Folder, Update Media and Update Text Note. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Speak Ai to Feathery?
Yes. When something happens in Speak Ai, your agent can act in Feathery too. This page covers both directions: Speak Ai's triggers and Feathery's actions are listed here as well.
Do I have to build a connector for Feathery or Speak 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 Speak 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.