Integration
Connect Azurevirtualmachines and Habitify
When New Virtual Machine fires in Azurevirtualmachines, your agent runs Add Note in Habitify, or New Log in Habitify 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 Habitify 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 Azurevirtualmachines and Habitify can do together
From Azurevirtualmachines to Habitify
When New Virtual Machine in Azurevirtualmachines
then Add Note in Habitify
When New Virtual Machine in Azurevirtualmachines
then Add area in Habitify
From Habitify to Azurevirtualmachines
When New Log in Habitify
then Deallocate Virtual Machine in Azurevirtualmachines
When New Mood in Habitify
then Power Off Virtual Machine in 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 Habitify
Triggers and actions 5 triggers · 26 actions
Trigger
New Virtual MachineTriggers when a new virtual machine appears in an Azure subscription.
Action
Deallocate Virtual MachineShuts down an Azure virtual machine and releases its compute resources, so compute charges stop until it is started again.
Action
Get Virtual MachineReturns a virtual machine's details and its current power state (running, stopped or deallocated).
Action
List Available VM SizesReturns the virtual machine sizes offered in an Azure region, with CPU and memory, and whether each is available to the subscription.
Action
List LocationsReturns the Azure regions available to a subscription.
Action
List Resource GroupsReturns the resource groups in an Azure subscription.
Action
List SubscriptionsReturns the Azure subscriptions the connected app registration can access.
Action
List Virtual MachinesReturns every virtual machine in an Azure subscription, with its size, region and resource group.
Action
List Virtual Machines in Resource GroupReturns the virtual machines in one Azure resource group, with their size and region.
Action
Power Off Virtual MachinePowers off an Azure virtual machine. The machine stops running but stays allocated, so compute charges continue; use Deallocate Virtual Machine to stop them.
Action
Restart Virtual MachineRestarts a running Azure virtual machine. Azure accepts the request and reboots the machine in the background.
Action
Start Virtual MachineStarts a stopped or deallocated Azure virtual machine. Azure accepts the request and powers the machine on in the background.
Trigger
New LogTriggers when a new log entry is recorded for the selected habit.
Trigger
New MoodTriggered when a new mood is logged on a note for the chosen habit.
Trigger
New NoteTriggers when a new note is added to the selected habit.
Trigger
New StatusTriggers when a habit is marked completed, skipped or failed for a day.
Action
Add areaCreates a new area for organizing and categorizing habits, and returns the created area.
Action
Add LogAdds a log entry with a specific value and unit to a measurable habit, for today or a chosen date.
Action
Add NoteAdds a note to a habit, with any combination of text, a mood level and photos. Returns the note that was created.
Action
Complete habitMarks a habit as completed for a specific date, with Habitify working out the log value from the habit's goal.
Action
Delete habitPermanently deletes a habit along with its logs, notes, goals and reminders. This cannot be undone.
Action
Delete habit logPermanently deletes one log entry from a habit, removing the recorded value from its tracking history.
Action
Fail habitMarks a habit as failed for a specific date, defaulting to today.
Action
Get habitReturns the full details of a habit, including its schedule, goals, reminders, areas and time-of-day periods. An error occurs if the habit is not found.
Action
Get Habit JournalReturns all your habits for a given day, with each habit's completion status, current streak and progress toward its goal.
Action
Get habit statisticsReturns aggregated statistics for a habit over an optional date range, including completion, skip and failure counts, total and average logged values, and a day-by-day progress breakdown.
Action
List areasReturns all of the areas in the Habitify account, the groups used to organize habits such as Health or Work.
Action
List habit logsReturns the log entries recorded for a habit, newest first, optionally limited to a date range.
Action
List habit notesReturns the notes attached to a habit, including each note's text, mood level, photos and creation time.
Action
List habitsReturns the habits in the account, optionally filtered by archived status, area, habit type or time of day.
Action
Skip habitMarks a habit as skipped for a specific date, for days you intentionally decide not to perform it. Returns Habitify's confirmation message.
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 Habitify, 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 Habitify when something happens in Azurevirtualmachines?
Any of Habitify's 15 actions, including Add area, Add Log, Add Note and Complete habit. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Habitify to Azurevirtualmachines?
Yes. When something happens in Habitify, your agent can act in Azurevirtualmachines too. This page covers both directions: Habitify's triggers and Azurevirtualmachines's actions are listed here as well.
Do I have to build a connector for Azurevirtualmachines or Habitify?
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 Habitify 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.