# Connect Pipefy to Google Cloud Run

When **Moved Card** fires in [Pipefy](https://apiant.ai/connections/pipefy), your agent runs **Run Job** in [Google Cloud Run](https://apiant.ai/connections/google-cloud-run). Describe the whole flow and it is built, tested on every scenario and kept running.

Pipefy **6** triggers Pipefy **11** actions Google Cloud Run **6** actions

What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.

## What do you want Pipefy and Google Cloud Run to do together?

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)](https://apiant.ai/docs/mcp/claude-code)

### 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)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

### Zed

Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

Example flows

## What Pipefy can start in Google Cloud Run

- When **Moved Card** in Pipefy then **Run Job** in Google Cloud Run
- When **New Card** in Pipefy then **Get Execution** 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 Pipefy and Google Cloud Run

## Triggers and actions 6 triggers · 17 actions

- Trigger

**Done Card**

Triggers when a card is done.

- Trigger

**Moved Card**

Triggers when a card is moved.

- Trigger

**New Card**

Triggers when a new card is created.

- Trigger

**New Database Record**

Triggers when a new record is created.

- Trigger

**Updated Card Field**

Triggers when a card field is updated.

- Trigger

**Updated Record Field**

Triggers when a record field is updated.

- Action

**Create Card**

Creates a card in a Pipefy pipe, filling in its start form fields.

- Action

**Create Record**

Creates a new table record.

- Action

**Delete Card**

Permanently deletes a card from its pipe.

- Action

**Delete Database Record**

Delete a database table record by ID via the GraphQL `deleteTableRecord(input: {id})` mutation.

- Action

**Find Card**

Returns the cards in a pipe whose chosen field matches the specified value.

- Action

**Find Database Records**

Find a database records by title.

- Action

**Get Card**

Retrieves a single Pipefy card by its id, including its phase, pipe, assignees, labels, attachments and field values.

- Action

**Get Database Record**

Fetch a single database table record by ID via the GraphQL `table_record(id: ID)` query.

- Action

**Move Card**

Moves a Pipefy card to another phase of its pipe.

- Action

**Update Card Field**

Sets a new value on one field of an existing Pipefy card.

- Action

**Update Database Record**

Update a database table record's title/fields via the GraphQL `updateTableRecord(input: {id, title})` mutation.

- Action

**Get Execution**

Returns a Cloud Run job execution's progress: how many tasks are running, succeeded or failed.

- Action

**Get Service**

Returns a Cloud Run service's URL, latest revision and status.

- Action

**List Jobs**

Returns the Cloud Run jobs in a project, in one region or across all regions.

- Action

**List Revisions**

Returns the revisions of a Cloud Run service.

- Action

**List Services**

Returns the Cloud Run services in a project, in one region or across all regions.

- Action

**Run Job**

Starts a new execution of a Cloud Run job and returns the execution's ID.

## Each app on its own

- [ **Pipefy** The easy button for processes and workflows Easily organize and run all your processes in one place, leaving...](https://apiant.ai/connections/pipefy)
- [ **Google Cloud Run** Serverless platform for running containerized services and jobs on Google Cloud.](https://apiant.ai/connections/google-cloud-run)

Reviews

## What our customers say

## More from Pipefy

- [ **Pipefy to Trello** Trello is a visual collaboration tool that organizes projects into boards, lists, and cards.](https://apiant.ai/connect/pipefy-to-trello)
- [ **Pipefy to Spaceflight News** Spaceflight News API aggregates news coverage of spaceflight and the space industry from many publishers.](https://apiant.ai/connect/pipefy-to-spaceflight-news)
- [ **Pipefy to SparrowDesk** SparrowDesk is an AI-first helpdesk that unifies customer support across email & chat while automating...](https://apiant.ai/connect/pipefy-to-sparrowdesk)
- [ **Pipefy to Timing** Timing is an automatic time tracking app for macOS.](https://apiant.ai/connect/pipefy-to-timing)
- [ **Pipefy to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/pipefy-to-salesforce)
- [ **Pipefy to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/pipefy-to-slack)

## More into Google Cloud Run

- [ **Airtable to Google Cloud Run** Organize anything with Airtable, a modern database created for everyone.](https://apiant.ai/connect/airtable-to-google-cloud-run)
- [ **Outlook to Google Cloud Run** Outlook is Microsoft's email and calendaring platform integrating contacts and scheduling, enabling users to...](https://apiant.ai/connect/outlook-to-google-cloud-run)
- [ **Postman to Google Cloud Run** Postman is a platform for building and testing APIs.](https://apiant.ai/connect/postman-to-google-cloud-run)
- [ **HubSpot to Google Cloud Run** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-google-cloud-run)
- [ **Salesforce to Google Cloud Run** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-google-cloud-run)
- [ **Slack to Google Cloud Run** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-google-cloud-run)

Questions

## Pipefy and Google Cloud Run, answered

###

### What can start an automation from Pipefy?

Any of Pipefy's 6 triggers in the catalog, including Moved Card, New Card, New Database Record and Updated Card Field. 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 Pipefy?

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

###

### Can it also run from Google Cloud Run to Pipefy?

Google Cloud Run has no triggers in the catalog today, so automations start in Pipefy. 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 Pipefy 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.
