Integration
Connect Google Cloud Logging and Redash
When New Log Entry Matching Filter fires in Google Cloud Logging, your agent runs Create Alert in Redash, or New Dashboard in Redash 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 Redash 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 Redash can do together
From Google Cloud Logging to Redash
When New Log Entry Matching Filter in Google Cloud Logging
then Create Alert in Redash
From Redash 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 Redash
Triggers and actions 3 triggers · 22 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.
- New Dashboard
Triggers when a new dashboard is created in your Redash site.
- New Query
Triggers when a new saved query is created in your Redash site.
- Archive Dashboard
Archives a dashboard.
- Archive Query
Archives a saved query so it no longer appears in lists.
- Create Alert
Creates an alert that fires when a query result column meets a condition.
- Create Dashboard
Creates an empty dashboard with the given name.
- Create Query
Creates a saved query on one of your Redash data sources.
- Delete Alert
Deletes an alert.
- Get Alert
Returns one alert with its condition and current state.
- Get Dashboard
Returns one dashboard and its widgets.
- Get Job
Returns the status of a query execution job and its result ID once it finishes.
- Get Query
Returns one saved query, including its text, data source and latest result ID.
- Get Query Cached Result
Returns the latest cached result rows of a query that has no parameters.
- Get Query Result
Returns the rows and columns of a query result.
- List Alerts
Returns every alert in your Redash site with its state.
- List Dashboards
Returns a page of the dashboards in your Redash site, optionally filtered by search text.
- List Data Sources
Returns the data sources your Redash queries can run on.
- List Queries
Returns a page of the saved queries in your Redash site, optionally filtered by search text.
- Refresh Query Results
Starts running a saved query, or returns its cached result when a fresh enough one exists.
- Update Dashboard
Updates a dashboard's name or tags.
- Update Query
Updates the name, text or description of a saved query.
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 Redash, 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 Redash when something happens in Google Cloud Logging?
Any of Redash's 19 actions, including Create Alert, Create Dashboard, Create Query and Update Dashboard. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Redash to Google Cloud Logging?
Yes. When something happens in Redash, your agent can act in Google Cloud Logging too. This page covers both directions: Redash'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 Redash?
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 Redash 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.