Integration
Connect Evoliz and Feathery
When New Account fires in Evoliz, your agent runs Create or Fetch User in Feathery, or Data Received in Feathery to Create Contact Client in Evoliz. 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 Evoliz 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 Evoliz and Feathery can do together
From Evoliz to Feathery
When New Account in Evoliz
then Create or Fetch User in Feathery
When New Article in Evoliz
then Get User Field Data in Feathery
From Feathery to Evoliz
When Data Received in Feathery
then Create Contact Client in Evoliz
When Form Completion in Feathery
then Create Contact Prospect in Evoliz
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 Evoliz and Feathery
Triggers and actions 7 triggers · 34 actions
Trigger
New AccountTriggered when a new accounting account is created in Evoliz.
Trigger
New ArticleTriggered when a new article is created in your Evoliz catalog.
Trigger
New ClientTriggered when a new client is created
Trigger
New Client ContactTriggered when a new client contact is created.
Trigger
New EventTriggered when a new event (a document or contact being created, updated, sent, accepted, invoiced, deleted and so on) is recorded in Evoliz.
Action
Create AccountCreates a new accounting account (accounting classification) in Evoliz.
Action
Create ArticleCreates a Article
Action
Create ClientCreates a Client
Action
Create Contact ClientCreates a Contact Client
Action
Create Contact ProspectCreates a new contact attached to an existing prospect in Evoliz.
Action
Create ExpenseCreates a purchase (expense) in Evoliz for a supplier, with its total and one or more classified amount lines.
Action
Create InvoiceCreates a new draft invoice in Evoliz for a client. Totals, margins and VAT are calculated by Evoliz.
Action
Create ProspectCreates a Prospect
Action
Create QuoteCreates a Quote
Action
Create Sale OrderCreate a new draft sale order for a client in Evoliz. Totals, margins and VAT-inclusive amounts are calculated by Evoliz.
Action
Find ArticleFinds an Article
Action
Find ClientReturns up to 100 clients that match the search text; the first match is also returned on its own.
Action
Find Contact ClientReturns up to 100 client contacts that match the specified search text, email, or client.
Action
Find SupplierFinds a Supplier
Action
Find UserFinds users of your Evoliz company whose details match the search text.
Action
Get Contact ProspectReturns one Evoliz prospect contact by its ID, with the contact's name, email, phone numbers, consent and the prospect it belongs to.
Action
Get ExpenseReturns one Evoliz purchase (expense) by its ID, with its supplier, label, dates, totals, status and amount lines.
Action
Get ProspectReturns one Evoliz prospect by its ID, with its name, type, address, phone numbers and business identifiers.
Action
Invoice QuoteCreates a complete invoice from an existing Evoliz quote (full invoicing of the quote).
Action
Invoice Sale OrderCreate a new invoice from an existing Evoliz sale order.
Action
Send QuoteEmails a quote to one or more recipients with a link to the document (and optionally the PDF attached).
Action
Update ArticleUpdates an existing article in the Evoliz catalog. Only the fields you fill in are changed.
Action
Update ClientUpdates an existing client. Replaces only data that is set.
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.
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
Evoliz and Feathery, answered
What can start an automation from Evoliz?
Any of Evoliz's 5 triggers in the catalog, including New Account, New Article, New Client and New Client Contact. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Feathery when something happens in Evoliz?
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 Evoliz?
Yes. When something happens in Feathery, your agent can act in Evoliz too. This page covers both directions: Feathery's triggers and Evoliz's actions are listed here as well.
Do I have to build a connector for Evoliz 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 Evoliz 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.