Integration
Connect Google Cloud Logging and OneUp
When New Log Entry Matching Filter fires in Google Cloud Logging, your agent runs Create Image Post in OneUp, or New Failed Post in OneUp to Write Log Entry in Google Cloud Logging. 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 Google Cloud Logging and OneUp to do together?
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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 Google Cloud Logging and OneUp can do together
From Google Cloud Logging to OneUp
When New Log Entry Matching Filter in Google Cloud Logging
then Create Image Post in OneUp
When New Log Entry Matching Filter in Google Cloud Logging
then Create Post in OneUp
From OneUp to Google Cloud Logging
When New Failed Post in OneUp
then Write Log Entry in Google Cloud Logging
When New Published Post in OneUp
then List Log Entries in Google Cloud Logging
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 Google Cloud Logging and OneUp
Triggers and actions 3 triggers · 16 actions
Trigger
New Log Entry Matching FilterTriggers when a new log entry matching a Cloud Logging filter is written to a project.
Action
List Log EntriesReturns log entries from a project that match a Cloud Logging filter, newest first.
Action
List LogsReturns the names of the logs in a project that have entries.
Action
Write Log EntryWrites a log entry to a Cloud Logging log in a project.
Trigger
New Failed PostTriggers when a scheduled post fails to publish, with the reason it failed.
Trigger
New Published PostTriggers when a post is published to one of your connected social accounts.
Action
Create Image PostSchedules an image post to one or more social accounts in a OneUp category, or saves it as a draft.
Action
Create PostSchedules a text post to one or more social accounts in a OneUp category, or saves it as a draft.
Action
Delete Failed PostDeletes a post that failed to publish.
Action
Delete Scheduled PostDeletes a post that is scheduled but not yet published.
Action
Get Scheduled PostReturns one scheduled post by its ID, including its current publishing status.
Action
List CategoriesReturns the categories in your OneUp account; each category groups a set of connected social accounts.
Action
List Category AccountsReturns the social accounts connected under one OneUp category, with the social network IDs used when scheduling posts.
Action
List Draft PostsReturns posts saved as drafts, up to 50 per page.
Action
List Failed PostsReturns posts that failed to publish, with the reason each one failed, up to 50 per page.
Action
List Scheduled PostsReturns posts queued for future publication, up to 50 per page.
Action
List Social AccountsReturns every social account connected to your OneUp account, including whether each connection has expired.
Action
Reschedule Failed PostReschedules a post that failed to publish for a new date and time.
Action
Update PostUpdates the text and title of a scheduled or draft post.
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
Google Cloud Logging and OneUp, answered
What can start an automation from Google Cloud Logging?
Any of Google Cloud Logging's 1 trigger in the catalog, including New Log Entry Matching Filter. Describe the moment in plain language and your agent picks the right one.
What can your agent do in OneUp when something happens in Google Cloud Logging?
Any of OneUp's 13 actions, including Create Image Post, Create Post, Update Post and Get Scheduled Post. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from OneUp to Google Cloud Logging?
Yes. When something happens in OneUp, your agent can act in Google Cloud Logging too. This page covers both directions: OneUp's triggers and Google Cloud Logging's actions are listed here as well.
Do I have to build a connector for Google Cloud Logging or OneUp?
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 Google Cloud Logging and OneUp 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.