Integration
Connect Habitify to TensorFeed
When New Log fires in Habitify, your agent runs Buy credits in TensorFeed. 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 TensorFeed 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 TensorFeed
When New Log in Habitify
then Buy credits in TensorFeed
When New Mood in Habitify
then Find AI news in TensorFeed
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 TensorFeed
Triggers and actions 4 triggers · 42 actions
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.
Action
Buy creditsInitiate a credit purchase against a sender wallet.
Action
Find AI newsFull-text search across the AI news archive.
Action
Get AFTA adopter directoryFetch the machine-readable AFTA adopter directory.
Action
Get AI agent directoryFetch a curated directory of AI agents and frameworks.
Action
Get AI benchmark scoresFetch public benchmark scores for major AI models.
Action
Get AI ecosystem daily briefFetch a composite daily brief covering the AI ecosystem.
Action
Get AI model pricing and specsFetch pricing and specs for AI models.
Action
Get AI newsFetch aggregated AI news articles.
Action
Get AI podcast episodesFetch recent AI podcast episodes.
Action
Get AI service statusFetch operational status for major AI services.
Action
Get benchmark trust verdictFetch a trust band and score for an AI benchmark.
Action
Get cheapest GPU offerFetch the cheapest current offer for a canonical GPU.
Action
Get cross-provider model catalogFetch a cross-provider AI model catalog snapshot from OpenRouter.
Action
Get failover verdictFetch the best operational failover target when a provider degrades.
Action
Get GPU rental pricingFetch current GPU rental pricing snapshot.
Action
Get HF daily papersFetch Hugging Face Daily Papers with community signal.
Action
Get historical snapshotFetch one historical daily snapshot by date and type.
Action
Get hot AI GitHub issuesFetch currently-hot GitHub issues across AI repos.
Action
Get LLM endpoint latency probesFetch the last 24 hours of LLM endpoint latency probes.
Action
Get MCP server registry snapshotFetch a daily summary of the MCP server registry.
Action
Get model deprecation calendarFetch the AI model deprecation calendar.
Action
Get recent arXiv papersFetch the most recent AI/ML arXiv submissions.
Action
Get stack safety verdictFetch a GO/HOLD/BLOCK deploy gate verdict for an AI-stack package.
Action
Get trending AI GitHub reposFetch trending GitHub repositories in AI.
Action
Get trending AI papersFetch daily citation-ranked AI/ML papers from Semantic Scholar.
Action
Get trending Hugging Face modelsFetch top trending Hugging Face models, datasets, and Spaces.
Action
Get trending Reddit AI threadsFetch currently-hot AI discussion threads on Reddit.
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
Habitify and TensorFeed, 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 TensorFeed when something happens in Habitify?
Any of TensorFeed's 27 actions, including Buy credits, Find AI news, Get AFTA adopter directory and Get AI agent directory. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from TensorFeed to Habitify?
TensorFeed has no triggers in the catalog today, so automations start in Habitify. If you need the other direction, ask: your agent reads TensorFeed's API documentation and adds it.
Do I have to build a connector for Habitify or TensorFeed?
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 TensorFeed 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.