Integration
Connect Azurevirtualmachines and Userflow
When New Virtual Machine fires in Azurevirtualmachines, your agent runs Create/Update User in Userflow, or Checklist Completed in Userflow to Deallocate Virtual Machine in Azurevirtualmachines. 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 Azurevirtualmachines and Userflow to do together?
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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 Azurevirtualmachines and Userflow can do together
From Azurevirtualmachines to Userflow
When New Virtual Machine in Azurevirtualmachines
then Create/Update User in Userflow
From Userflow to Azurevirtualmachines
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 Azurevirtualmachines and Userflow
Triggers and actions 15 triggers · 16 actions
- New Virtual Machine
Triggers when a new virtual machine appears in an Azure subscription.
- Deallocate Virtual Machine
Shuts down an Azure virtual machine and releases its compute resources, so compute charges stop until it is started again.
- Get Virtual Machine
Returns a virtual machine's details and its current power state (running, stopped or deallocated).
- List Available VM Sizes
Returns the virtual machine sizes offered in an Azure region, with CPU and memory, and whether each is available to the subscription.
- List Locations
Returns the Azure regions available to a subscription.
- List Resource Groups
Returns the resource groups in an Azure subscription.
- List Subscriptions
Returns the Azure subscriptions the connected app registration can access.
- List Virtual Machines
Returns every virtual machine in an Azure subscription, with its size, region and resource group.
- List Virtual Machines in Resource Group
Returns the virtual machines in one Azure resource group, with their size and region.
- Power Off Virtual Machine
Powers off an Azure virtual machine. The machine stops running but stays allocated, so compute charges continue; use Deallocate Virtual Machine to stop them.
- Restart Virtual Machine
Restarts a running Azure virtual machine. Azure accepts the request and reboots the machine in the background.
- Start Virtual Machine
Starts a stopped or deallocated Azure virtual machine. Azure accepts the request and powers the machine on in the background.
- Checklist Completed
Triggered when a user finishes every task in a Userflow checklist.
- Checklist Dismissed/Ended
Triggered when a Userflow checklist ends for a user — because they dismissed it, it was completed, or it stopped applying to them. The reason is in checklist_end_reason.
- Checklist Started
Triggered when a user starts a Userflow checklist. Why it started is in checklist_start_reason.
- Checklist Task Completed
Triggered when a user completes a single task inside a Userflow checklist.
- Event Tracked
Triggered when Userflow tracks an event for a user — either your own custom events or Userflow's own flow and checklist events. Name one event to watch, or leave it blank to fire for all of them.
- Flow Completed
Triggered when a user completes a Userflow flow by reaching its goal step.
- Flow Dismissed/Ended
Triggered when a Userflow flow ends for a user — because they dismissed it, finished it, or it stopped applying. The reason is in flow_end_reason.
- Flow Started
Triggered when a user starts a Userflow flow. Why it started is in flow_start_reason.
- Group Created/Updated
Triggered when a group (a company or account) is created or changed in Userflow.
- Launcher Activated
Triggered when a user clicks a Userflow launcher (a beacon, button or hotspot) to open it.
- Launcher Dismissed
Triggered when a user dismisses a Userflow launcher (a beacon, button or hotspot).
- Launcher Seen
Triggered when a Userflow launcher (a beacon, button or hotspot) is shown to a user.
- Question Answered
Triggered when a user answers a question in a Userflow flow — a survey, NPS or rating step. The answer arrives as text, a number, or a list depending on the question type.
- User Created/Updated
Triggered when a user is created or changed in Userflow.
- Create/Update Group
Creates a group (a company or account) in Userflow, or updates it if a group with that ID already exists. Only the attributes you send are changed.
- Create/Update User
Creates a user in Userflow, or updates them if a user with that ID already exists. Only the attributes you send are changed. Optionally adds the user to a group.
- Find Group
Finds groups (companies or accounts) in Userflow by name. Userflow's API cannot filter on the server, so this reads up to 300 groups and matches them here; leave the name blank to just list them.
- Find User
Finds users in Userflow by email or name. Userflow's API cannot filter on the server, so this reads up to 300 users and matches them here; leave both fields blank to just list them.
- Track Event
Tracks an event for a user in Userflow, so you can use it to start flows or checklists and to segment users.
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
Azurevirtualmachines and Userflow, answered
What can start an automation from Azurevirtualmachines?
Any of Azurevirtualmachines's 1 trigger in the catalog, including New Virtual Machine. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Userflow when something happens in Azurevirtualmachines?
Any of Userflow's 5 actions, including Create/Update Group, Create/Update User, Find Group and Find User. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Userflow to Azurevirtualmachines?
Yes. When something happens in Userflow, your agent can act in Azurevirtualmachines too. This page covers both directions: Userflow's triggers and Azurevirtualmachines's actions are listed here as well.
Do I have to build a connector for Azurevirtualmachines or Userflow?
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 Azurevirtualmachines and Userflow 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.