Integration
Connect Feathery to Elastic Security
When Data Received fires in Feathery, your agent runs Add case comment in Elastic Security. 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 Elastic Security 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 Elastic Security
When Data Received in Feathery
then Add case comment in Elastic Security
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 Elastic Security
Triggers and actions 2 triggers · 21 actions
- Data Received
Triggers when an end user submits or updates data on a Feathery form.
- Form Completion
Triggers when an end user completes a Feathery form.
- Create Hidden Field
Creates a hidden field in your Feathery account.
- Create or Fetch User
Creates a Feathery end user with the given ID, or returns the existing user, including its SDK key.
- Create or Update Submission
Sets field values for a Feathery user and initializes submissions on the given forms.
- Delete User
Deletes a Feathery end user and their submissions.
- Get User Field Data
Returns every field value a Feathery user submitted across forms.
- Get User Form Session
Returns a Feathery user's form session: every form they are working on and their progress.
- List Document Templates
Returns document templates uploaded by your Feathery team, optionally filtered by name or tags.
- List Forms
Returns your Feathery forms, optionally filtered by tags or active status.
- List Form Submissions
Returns submissions for a Feathery form, optionally filtered by user, completion and update time.
- List Hidden Fields
Returns all hidden fields in your Feathery account.
- List Users
Returns your Feathery end users, optionally filtered by creation time or a field value.
- Add case comment
Adds a user comment, or attaches an alert, to an existing Elastic Security case and returns the updated case.
- Add detection rule
Creates a detection rule in Elastic Security (custom query, EQL, ES|QL, threshold, indicator match, new terms, saved query or machine learning).
- Add exception list item
Creates an exception item in an existing Elastic Security exception list, so matching events stop producing detection alerts.
- Delete detection rule
Deletes a detection rule, identified by its internal id or its stable rule ID, and returns the deleted rule.
- Find cases
Searches cases by text in their title or description, optionally narrowed by status, severity, tags, owner, assignee, reporter, category or creation date.
- Find detection rules
Finds detection rules in Elastic Security matching a filter, such as by name, tag or enabled state.
- Get detection rule
Returns a detection rule's full details, looked up by its internal id or its stable rule_id.
- Get exception list item
Returns one exception list item, looked up by its id or its human-readable item ID.
- Update case
Updates an existing case's title, description, status, severity, tags, assignees and other fields.
- Update detection rule
Updates selected settings of an existing detection rule, leaving any setting you leave blank unchanged. Returns the updated rule.
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 Elastic Security, 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 Elastic Security when something happens in Feathery?
Any of Elastic Security's 10 actions, including Update case, Update detection rule, Add case comment and Add detection rule. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Elastic Security to Feathery?
Elastic Security has no triggers in the catalog today, so automations start in Feathery. If you need the other direction, ask: your agent reads Elastic Security's API documentation and adds it.
Do I have to build a connector for Feathery or Elastic Security?
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 Elastic Security 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.