Integration
Connect elmah.io and Feathery
When New Error fires in elmah.io, your agent runs Create or Fetch User in Feathery, or Data Received in Feathery to Add message in elmah.io. 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 elmah.io 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)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 elmah.io and Feathery can do together
From elmah.io to Feathery
When New Error in elmah.io
then Create or Fetch User in Feathery
When New Error in elmah.io
then Get User Field Data in Feathery
From Feathery to elmah.io
When Data Received in Feathery
then Add message in elmah.io
When Form Completion in Feathery
then Fix message in elmah.io
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 elmah.io and Feathery
Triggers and actions 3 triggers · 23 actions
Trigger
New ErrorFires once for each new Error or Fatal message logged to the selected elmah.io log.
Action
Add deploymentCreate a new deployment.
Action
Add logCreate a new log.
Action
Add messageLog a new message/error to a log.
Action
Delete messageDelete a message by ID.
Action
Find messages by querySearch messages in a log with a query.
Action
Fix messageMark a message as fixed.
Action
Get logFetch a log by ID.
Action
Get messageFetch a message by ID.
Action
Hide messageHide a message by ID.
Action
List deploymentsList deployments.
Action
List logsList all logs.
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.
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
elmah.io and Feathery, answered
What can start an automation from elmah.io?
Any of elmah.io's 1 trigger in the catalog, including New Error. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Feathery when something happens in elmah.io?
Any of Feathery's 12 actions, including Create Hidden Field, Create One-Time Link, Create or Fetch User and Create or Update Submission. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Feathery to elmah.io?
Yes. When something happens in Feathery, your agent can act in elmah.io too. This page covers both directions: Feathery's triggers and elmah.io's actions are listed here as well.
Do I have to build a connector for elmah.io 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 elmah.io 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.