Integration
Connect Google Cloud Logging and Wingmate
When New Log Entry Matching Filter fires in Google Cloud Logging, your agent runs Create a Contact in Wingmate, or Action Created in Wingmate 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 Wingmate 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)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
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 Wingmate can do together
From Google Cloud Logging to Wingmate
When New Log Entry Matching Filter in Google Cloud Logging
then Create a Contact in Wingmate
From Wingmate to 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 Wingmate
Triggers and actions 13 triggers · 15 actions
- New Log Entry Matching Filter
Triggers when a new log entry matching a Cloud Logging filter is written to a project.
- List Log Entries
Returns log entries from a project that match a Cloud Logging filter, newest first.
- List Logs
Returns the names of the logs in a project that have entries.
- Write Log Entry
Writes a log entry to a Cloud Logging log in a project.
- Action Created
Triggers when a new action request is created on a lead.
- Attachment Created
Triggers when a new attachment is added to a lead.
- Comment Created
Triggers when a new comment is posted on a lead.
- Contact Created
Triggers when a new contact is added in Wingmate.
- Contact Updated
Triggers when a Wingmate contact is added or changed.
- Lead Created
Triggers when a new lead is added to your Wingmate pipeline.
- Lead Link Created
Triggers when a lead is linked to another lead.
- Lead Updated
Triggers when a lead in your Wingmate pipeline is added or changed.
- Ownership Created
Triggers when a new owner is added to a lead.
- Purchase Created
Triggers when a new purchase is recorded on a lead.
- Reminder Created
Triggers when a new reminder is created on a lead.
- Status Update Created
Triggers when a lead's status changes (new status update).
- Create a Comment
Adds a comment to an existing lead.
- Create a Contact
Creates a contact on an existing lead.
- Create a Lead
Creates a new lead in a Wingmate campaign (pipeline).
- Create an Action
Creates an action request on an existing lead, assigned to a user.
- Create a Reminder
Creates a reminder on an existing lead.
- Create a Reward
Creates a reward (user transaction) for a user on an existing lead.
- Lookup a Lead's Contacts
Returns the contacts on a lead.
- Update a Comment
Updates the text of an existing comment.
- Update a Contact
Updates an existing contact.
- Update a Lead
Updates an existing lead.
- Update an Action
Updates an existing action request.
- Update a Reminder
Updates an existing reminder.
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
Google Cloud Logging and Wingmate, 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 Wingmate when something happens in Google Cloud Logging?
Any of Wingmate's 12 actions, including Create a Comment, Create a Contact, Create a Lead and Create an Action. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Wingmate to Google Cloud Logging?
Yes. When something happens in Wingmate, your agent can act in Google Cloud Logging too. This page covers both directions: Wingmate'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 Wingmate?
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 Wingmate 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.