Integration
Connect Feathery and ServeManager
When Data Received fires in Feathery, your agent runs Create Invoice in ServeManager, or New Attempt in ServeManager 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 ServeManager 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 ServeManager can do together
From Feathery to ServeManager
When Data Received in Feathery
then Create Invoice in ServeManager
When Form Completion in Feathery
then Create Payment in ServeManager
From ServeManager to Feathery
When New Attempt in ServeManager
then Create or Fetch User in Feathery
When New Company in ServeManager
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 ServeManager
Triggers and actions 7 triggers · 32 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 One-Time LinkCreates a one-time link that opens one submission of a Feathery form, optionally prefilled.
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
Invoice IssuedTriggers when an invoice is issued.
Trigger
New AttemptTriggers when a new service attempt is logged on any job.
Trigger
New CompanyTriggers when a new company is added in ServeManager.
Trigger
New JobTriggers when a new job is created in ServeManager.
Trigger
New NoteTriggers when a new note is added to any job.
Action
Cancel JobCancels a job and records a cancellation note on it.
Action
Create AttemptLogs a service attempt on an existing job: the serve type, when it happened, who was served and at which address.
Action
Create CompanyCreates a company (client, law firm or process server) in ServeManager, optionally with a primary contact, address, email and phone.
Action
Create CourtCreates a court location with its branch name, county and address.
Action
Create Court CaseCreates a court case with its plaintiff, defendant, case number, dates and court location.
Action
Create InvoiceCreates an invoice on a job with one line item.
Action
Create JobCreates a service-of-process job with its recipient, service address, client, process server, court case and an optional document to be served from a URL.
Action
Create PaymentRecords a payment on an invoice. Each call adds a new payment, so check the invoice's existing payments before retrying.
Action
Delete AttemptDeletes a service attempt.
Action
Find CompanyFinds ServeManager companies by a text search over company and contact details, most reliably a full email address.
Action
Find Court CaseFinds court cases by case number, plaintiff, defendant or court branch name.
Action
Find JobFinds jobs by a text search over company names, recipients, zip codes and other job details.
Action
Get AttemptReturns one service attempt by ID, including serve type, outcome, recipient and address.
Action
Get CompanyReturns one ServeManager company by ID, with its contacts, addresses, phone numbers and emails.
Action
Get Court CaseReturns one court case by ID, including its plaintiff, defendant, case number and court.
Action
Get JobReturns one ServeManager job by its ID, including recipient, status and client details.
Action
List EmployeesLists the employees on your ServeManager account with their contact details and permission level.
Action
Update CompanyUpdates a company's name, type, website or note. An address given here is added to the company; existing addresses are kept.
Action
Update JobUpdates a job's status, due date, instructions, client job number or assignments. An address given here is added to the job's service addresses.
Action
Upload FileAttaches a file from a public URL to an existing job, either as a document to be served or as a miscellaneous attachment. ServeManager downloads the file itself.
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
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Questions
Feathery and ServeManager, 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 ServeManager when something happens in Feathery?
Any of ServeManager's 20 actions, including Create Attempt, Create Company, Create Court and Create Court Case. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from ServeManager to Feathery?
Yes. When something happens in ServeManager, your agent can act in Feathery too. This page covers both directions: ServeManager's triggers and Feathery's actions are listed here as well.
Do I have to build a connector for Feathery or ServeManager?
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 ServeManager 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.