Integration
Connect Hume AI to Google Cloud Scheduler
When New Voice fires in Hume AI, your agent runs Create HTTP Job in Google Cloud Scheduler. 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 Hume AI and Google Cloud Scheduler 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 Hume AI can start in Google Cloud Scheduler
When New Voice in Hume AI
then Create HTTP Job in Google Cloud Scheduler
When Chat ended (instant) in Hume AI
then Update Job in Google Cloud Scheduler
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 Hume AI and Google Cloud Scheduler
Triggers and actions 4 triggers · 21 actions
Trigger
Chat ended (instant)Fires when an EVI chat session ends (chat_ended webhook event).
Trigger
Chat started (instant)Fires when a new EVI chat session begins (chat_started webhook event).
Trigger
New VoiceTriggers when a new voice is created.
Trigger
Tool call (instant)Fires when EVI calls a registered tool during a conversation (tool_call webhook event).
Action
Add configCreate a new EVI configuration (voice assistant setup).
Action
Add promptCreate a new system prompt for use in an EVI configuration.
Action
Add toolCreate a new tool definition that EVI can call during a conversation.
Action
Add voiceSave a new custom voice to the account from a TTS generation ID, for reuse in later speech requests.
Action
Convert voiceConvert the speech in an uploaded audio file into a different saved voice.
Action
Delete configDelete an EVI configuration from the account.
Action
Delete voiceDelete a saved custom voice from the account.
Action
Generate Text to SpeechConvert text to speech using Hume AI's expressive text-to-speech technology.
Action
List configsList the EVI configurations saved to the account.
Action
List promptsList the prompts saved to the account.
Action
List toolsList the tool definitions saved to the account.
Action
List voicesList the custom voices saved to the account.
Action
Update configUpdate an EVI configuration's name or description.
Action
Create HTTP JobCreates a Cloud Scheduler job that calls an HTTP URL on a cron schedule.
Action
Delete JobPermanently deletes a Cloud Scheduler job.
Action
Get JobReturns a Cloud Scheduler job's schedule, target and current state.
Action
List JobsReturns the Cloud Scheduler jobs in a project location.
Action
Pause JobPauses a Cloud Scheduler job so it stops running on its schedule until resumed.
Action
Resume JobResumes a paused Cloud Scheduler job so it runs on its schedule again.
Action
Run Job NowRuns a Cloud Scheduler job immediately. The job must be enabled; a paused job has to be resumed first.
Action
Update JobChanges a Cloud Scheduler HTTP job's schedule, time zone, URL, method or description. Fields left blank are not changed.
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
Hume AI and Google Cloud Scheduler, answered
What can start an automation from Hume AI?
Any of Hume AI's 4 triggers in the catalog, including New Voice, Chat ended (instant), Chat started (instant) and Tool call (instant). Describe the moment in plain language and your agent picks the right one.
What can your agent do in Google Cloud Scheduler when something happens in Hume AI?
Any of Google Cloud Scheduler's 8 actions, including Create HTTP Job, Update Job, Get Job and List Jobs. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Google Cloud Scheduler to Hume AI?
Google Cloud Scheduler has no triggers in the catalog today, so automations start in Hume AI. If you need the other direction, ask: your agent reads Google Cloud Scheduler's API documentation and adds it.
Do I have to build a connector for Hume AI or Google Cloud Scheduler?
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 Hume AI and Google Cloud Scheduler 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.