Integration
Connect Feathery to Rosette Text Analytics
When Data Received fires in Feathery, your agent runs Extract events in Rosette Text Analytics. 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 Rosette Text Analytics 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 Rosette Text Analytics
When Data Received in Feathery
then Extract events in Rosette Text Analytics
When Form Completion in Feathery
then Analyze morphology in Rosette Text Analytics
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 Rosette Text Analytics
Triggers and actions 2 triggers · 25 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.
Action
Analyze morphologyReturns morphological analysis of text, such as lemmas, part-of-speech tags, compound components and Han readings.
Action
Analyze sentimentAnalyzes the positive, negative or neutral sentiment of a text, returning the overall document sentiment and the sentiment toward each entity mentioned.
Action
Categorize textIdentifies the contextual categories (QAG Tier 1 taxonomy) of a piece of text or a web page, with a confidence for each.
Action
Deduplicate namesGroups a list of names into clusters of likely duplicates, returning one cluster ID per name in the order supplied.
Action
Extract entitiesExtracts the named entities (people, organizations, places and more) from text or a web page, optionally linking them to a knowledge base.
Action
Extract eventsExtracts events (such as travel or meetings) from a piece of text, returning each event's type, participants and roles, and whether it was negated.
Action
Extract relationshipsFinds the relationships between people, organizations and other entities in a piece of text, returning each subject, predicate, object and a confidence score.
Action
Extract topicsReturns the key phrases and concepts found in a piece of text or a web page, each with a salience score.
Action
Identify languageIdentifies the language(s) of a piece of text or web page, returning candidate languages ranked by confidence.
Action
Match addressesCompares two addresses and returns a similarity score indicating how likely they refer to the same place.
Action
Match namesCompares two names, in any supported language or script, and returns a similarity score showing how likely they refer to the same person, place or organization.
Action
Tokenize textSplits text into a list of tokens (words and punctuation).
Action
Translate nameTranslates a person, place or organization name into another language and script.
Action
Transliterate textTransliterates Arabic text between Arabizi (Romanized Arabic) and native Arabic script.
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 Rosette Text Analytics, 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 Rosette Text Analytics when something happens in Feathery?
Any of Rosette Text Analytics's 14 actions, including Analyze morphology, Analyze sentiment, Categorize text and Deduplicate names. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Rosette Text Analytics to Feathery?
Rosette Text Analytics has no triggers in the catalog today, so automations start in Feathery. If you need the other direction, ask: your agent reads Rosette Text Analytics's API documentation and adds it.
Do I have to build a connector for Feathery or Rosette Text Analytics?
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 Rosette Text Analytics 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.