Integration
Connect Float and Habitify
When New Allocation fires in Float, your agent runs Add Note in Habitify, or New Log in Habitify to Create Client in Float. 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 Float 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 Float and Habitify can do together
From Float to Habitify
When New Allocation in Float
then Add Note in Habitify
From Habitify to Float
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 Float and Habitify
Triggers and actions 19 triggers · 36 actions
- New Allocation
Triggers when a new allocation is created.
- New Client
Triggers when a new client is added.
- New Department
Triggers when a new department is added.
- New Logged Time
Triggers when a new logged time is created.
- New Milestone
Triggers when a new milestone is created.
- New Person
Triggers when a new person is added.
- New Phase
Triggers when a new phase is created.
- New Project
Triggers when a new project is created.
- New Project Task
Triggers when a new project task is created.
- New Time Off
Triggers when a new time off is created.
- Updated Allocation
Triggers when an allocation is modified.
- Updated Logged Time
Triggers when a logged time is modified.
- Updated Phase
Triggers when a phase is modified.
- Updated Project
Triggers when a project is modified.
- Updated Project Task
Triggers when a project task is modified.
- Create Allocation
Creates a new allocation.
- Create Client
Creates a new client.
- Create Department
Creates a new department.
- Create Logged Time
Creates a new logged time.
- Create Milestone
Creates a new milestone.
- Create Person
Creates a new person.
- Create Phase
Creates a new phase.
- Create Project
Creates a new project.
- Create Project Task
Creates a new project task.
- Create Time Off
Creates a new time off.
- Find Allocation
Finds an allocation by ID.
- Find Logged Time
Finds a logged time by ID.
- Find Person
Finds a person by ID, email, or tag(s).
- Find Project
Finds a project by ID, project_code, or tag(s).
- Update Allocation
Update an existing allocation by ID.
- Update Logged Time
Update an existing logged time entry by ID.
- Update Milestone
Update an existing milestone by ID.
- Update Person
Update an existing person by ID.
- Update Phase
Update an existing phase by ID.
- Update Project
Update an existing project by ID.
- Update Project Task
Update an existing project task by ID.
- New Log
Triggers when a new log entry is recorded for the selected habit.
- New Mood
Triggered when a new mood is logged on a note for the chosen habit.
- New Note
Triggers when a new note is added to the selected habit.
- New Status
Triggers when a habit is marked completed, skipped or failed for a day.
- Add area
Creates a new area for organizing and categorizing habits, and returns the created area.
- Add Log
Adds a log entry with a specific value and unit to a measurable habit, for today or a chosen date.
- Add Note
Adds a note to a habit, with any combination of text, a mood level and photos. Returns the note that was created.
- Complete habit
Marks a habit as completed for a specific date, with Habitify working out the log value from the habit's goal.
- Delete habit
Permanently deletes a habit along with its logs, notes, goals and reminders. This cannot be undone.
- Delete habit log
Permanently deletes one log entry from a habit, removing the recorded value from its tracking history.
- Fail habit
Marks a habit as failed for a specific date, defaulting to today.
- Get habit
Returns 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.
- Get Habit Journal
Returns all your habits for a given day, with each habit's completion status, current streak and progress toward its goal.
- Get habit statistics
Returns 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.
- List areas
Returns all of the areas in the Habitify account, the groups used to organize habits such as Health or Work.
- List habit logs
Returns the log entries recorded for a habit, newest first, optionally limited to a date range.
- List habit notes
Returns the notes attached to a habit, including each note's text, mood level, photos and creation time.
- List habits
Returns the habits in the account, optionally filtered by archived status, area, habit type or time of day.
- Skip habit
Marks 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
Reviews
What our customers say
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Questions
Float and Habitify, answered
What can start an automation from Float?
Any of Float's 15 triggers in the catalog, including New Allocation, New Client, New Department and New Logged Time. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Habitify when something happens in Float?
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 Float?
Yes. When something happens in Habitify, your agent can act in Float too. This page covers both directions: Habitify's triggers and Float's actions are listed here as well.
Do I have to build a connector for Float 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 Float 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.