Integration

Connect Airtable to Google Cloud Run

When New or Updated Record fires in Airtable, your agent runs Get Execution in Google Cloud Run. 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 Airtable and Google Cloud Run to do together?

Ask the assistant

You'll sign in before anything runs. What you typed comes with you.

Examples

Pick one to fill the box, then change anything: the steps, the wording, even the apps. Go as long as you like.

Connect your AI client

Give your AI client this address.

https://mcp.apiant.ai

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.ai

Start 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)

Airtable holds the records your team works from; Google Cloud Run runs the containerized jobs and services behind them. Joining them lets a record in a base start a Cloud Run job, and lets job executions, service URLs or revisions come back into Airtable fields so the people reading the base see what actually ran.

Example flows

What Airtable can start in Google Cloud Run

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 Airtable and Google Cloud Run

Triggers and actions 2 triggers · 20 actions

Each app on its own

Reviews

What our customers say

More from Airtable

More into Google Cloud Run

Questions

Airtable and Google Cloud Run, answered

Can a change in Airtable start a Cloud Run job?

Yes. The New Record and New or Updated Record triggers in Airtable can fire the Run Job action in Google Cloud Run, which returns the execution ID. You can store that ID back on the record with Update Record.

Can Google Cloud Run start something in Airtable on its own?

No, Google Cloud Run has no triggers here, so every scenario begins in Airtable. You can still read from Cloud Run with Get Execution, Get Service, List Jobs, List Revisions or List Services whenever an Airtable record is created or updated.

What can start an automation from Airtable?

Any of Airtable's 2 triggers in the catalog, including New or Updated Record and New Record. Describe the moment in plain language and your agent picks the right one.

What can your agent do in Google Cloud Run when something happens in Airtable?

Any of Google Cloud Run's 6 actions, including Get Execution, Get Service, List Revisions and Run Job. Your agent maps the data both ways and tests every scenario before it ships.

Can it also run from Google Cloud Run to Airtable?

Google Cloud Run has no triggers in the catalog today, so automations start in Airtable. If you need the other direction, ask: your agent reads Google Cloud Run's API documentation and adds it.

Do I have to build a connector for Airtable or Google Cloud Run?

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.

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.