Integration
Connect Google Cloud Logging to BigDataCloud
When New Log Entry Matching Filter fires in Google Cloud Logging, your agent runs Validate Email Address in BigDataCloud. 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 BigDataCloud 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 Google Cloud Logging can start in BigDataCloud
When New Log Entry Matching Filter in Google Cloud Logging
then Validate Email Address in BigDataCloud
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 BigDataCloud
Triggers and actions 1 trigger · 10 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.
- Get country info
Returns details about a country from its ISO code, including its names, languages, currency, calling code, flag and UN / World Bank region classifications.
- Get IP Geolocation Data
Returns the estimated location of an IP address — country, region, city, postcode, coordinates and time zone — along with details of the network and carriers that serve it.
- Get Locality Info of Geo-Coordinates
Returns the country, state, city, locality, postcode and full administrative hierarchy for a latitude and longitude.
- Get time zone info
Returns the current details of a time zone, such as its UTC offset, daylight saving status and local time. Optionally converts a given moment to that zone's local time.
- Parse user agent
Parses a raw browser user-agent string into the browser, version, operating system and device type, and flags whether it looks like a bot or a mobile device.
- Validate Email Address
Checks an email address's syntax, whether its domain has a mail server, and whether it is a disposable or known-spammer address, and returns an overall validity verdict.
- Validate Phone Number
Checks whether a phone number is valid for a given country and returns it in standard international (E.164), international and national formats, along with its line type (mobile, landline, VoIP and so on), estimated location and country details.
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 BigDataCloud, 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 BigDataCloud when something happens in Google Cloud Logging?
Any of BigDataCloud's 7 actions, including Get country info, Get IP Geolocation Data, Get Locality Info of Geo-Coordinates and Get time zone info. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from BigDataCloud to Google Cloud Logging?
BigDataCloud has no triggers in the catalog today, so automations start in Google Cloud Logging. If you need the other direction, ask: your agent reads BigDataCloud's API documentation and adds it.
Do I have to build a connector for Google Cloud Logging or BigDataCloud?
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 BigDataCloud 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.