Integration
Connect Habitify to Keywords AI
When New Log fires in Habitify, your agent runs Update user in Keywords AI. 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 Habitify and Keywords AI 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 Habitify can start in Keywords AI
When New Log in Habitify
then Update user in Keywords AI
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 Habitify and Keywords AI
Triggers and actions 4 triggers · 31 actions
- 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.
- Add prompt
Creates a new prompt in your Keywords AI workspace with an optional description. Returns the new prompt, including its id and slug.
- Add prompt version
Creates a new version of a prompt with its messages, model and settings. The new version becomes the prompt's current draft and earlier versions become read-only.
- Add span
Logs an LLM call or workflow step as a span in Keywords AI (Respan), with its model, input, output, token usage, latency and trace links. Returns the stored span.
- Delete prompt
Deletes a prompt and all of its versions from your prompt library.
- Get prompt
Returns a prompt template with its name, description, slug, tags, and its current and deployed (live) versions.
- Get span
Returns a single span (logged LLM request) with its input, output, token usage, cost, latency, metadata and evaluation scores.
- Get trace
Returns one trace with its aggregate cost, token and error metrics and its full tree of spans.
- Get user
Returns a user's profile and current budget usage, looked up by your own identifier for that user.
- List models
Returns the models your Keywords AI project can use through the gateway, with each model's context window and pricing.
- List prompts
Returns the prompts in your Keywords AI workspace, optionally filtered and sorted.
- List prompt versions
Returns every version of a prompt, newest first, including each version's messages, model and settings.
- List spans
Returns the spans (request logs) in your Keywords AI account, optionally filtered by time range, environment, type and span fields, and sorted as you choose.
- List traces
Returns the traces recorded in your Keywords AI account, optionally narrowed by time range, environment and filter conditions.
- List users
Returns the users (your end customers) tracked in your organization, with their usage analytics such as requests, tokens, cost and budget settings.
- Update prompt
Updates the name or description of a prompt in Keywords AI.
- Update user
Updates a user's profile and spending budget in Keywords AI, such as their name, email, metadata, budgets and markup. Returns the updated user.
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
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Questions
Habitify and Keywords AI, answered
What can start an automation from Habitify?
Any of Habitify's 4 triggers in the catalog, including New Log, New Mood, New Note and New Status. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Keywords AI when something happens in Habitify?
Any of Keywords AI's 16 actions, including Update prompt, Update user, Add prompt and Add prompt version. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Keywords AI to Habitify?
Keywords AI has no triggers in the catalog today, so automations start in Habitify. If you need the other direction, ask: your agent reads Keywords AI's API documentation and adds it.
Do I have to build a connector for Habitify or Keywords AI?
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 Habitify and Keywords AI 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.