# Connect Pneumatic to Google Cloud Document Ai

When **Task Completed** fires in [Pneumatic](https://apiant.ai/connections/pneumatic), your agent runs **Process Document from Base64 Content** in [Google Cloud Document Ai](https://apiant.ai/connections/google-cloud-document-ai). Describe the whole flow and it is built, tested on every scenario and kept running.

Pneumatic **4** triggers Pneumatic **7** actions Google Cloud Document Ai **4** actions

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

## What do you want Pneumatic and Google Cloud Document Ai 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 Pneumatic can start in Google Cloud Document Ai

- When **Task Completed** in Pneumatic then **Process Document from Base64 Content** in Google Cloud Document Ai
- When **Workflow Completed** in Pneumatic then **Process Document from Cloud Storage** in Google Cloud Document Ai

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 Pneumatic and Google Cloud Document Ai

## Triggers and actions 4 triggers · 11 actions

- Trigger

**Task Completed**

Triggers when some task is completed.

- Trigger

**Task Returned**

Triggers when a process is returned to this task.

- Trigger

**Workflow Completed**

Triggers when a workflow is completed.

- Trigger

**Workflow Started**

Triggers when a new workflow is started.

- Action

**Get Task**

Get a single task by id.

- Action

**Get Template**

Get a specific workflow template by id.

- Action

**List Tasks**

List tasks in the account.

- Action

**List Templates**

List all workflow templates in the account.

- Action

**List Users**

List users in the account.

- Action

**Run Workflow**

Run a New Workflow

- Action

**Update Task**

Complete a task.

- Action

**Get Processor**

Returns one Document AI processor by its ID.

- Action

**List Processors**

Returns the Document AI processors in a Google Cloud project and location.

- Action

**Process Document from Base64 Content**

Runs a Document AI processor on base64-encoded file content and returns the extracted text and entities.

- Action

**Process Document from Cloud Storage**

Runs a Document AI processor on a file stored in Google Cloud Storage and returns the extracted text and entities.

## Each app on its own

- [ **Pneumatic** Pneumatic is first workflow service created especially for small teams.](https://apiant.ai/connections/pneumatic)
- [ **Google Cloud Document Ai** Cloud API that extracts structured data (text, tables, entities) from scanned documents using machine...](https://apiant.ai/connections/google-cloud-document-ai)

Reviews

## What our customers say

## More from Pneumatic

- [ **Pneumatic to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/pneumatic-to-salesforce)
- [ **Pneumatic to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/pneumatic-to-slack)
- [ **Pneumatic to Stripe** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/pneumatic-to-stripe)
- [ **Pneumatic to Shopify** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/pneumatic-to-shopify)
- [ **Pneumatic to QuickBooks Online** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/pneumatic-to-quickbooks-online)
- [ **Pneumatic to Trello** Trello is a visual collaboration tool that organizes projects into boards, lists, and cards.](https://apiant.ai/connect/pneumatic-to-trello)

## More into Google Cloud Document Ai

- [ **HubSpot to Google Cloud Document Ai** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-google-cloud-document-ai)
- [ **Salesforce to Google Cloud Document Ai** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-google-cloud-document-ai)
- [ **Slack to Google Cloud Document Ai** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-google-cloud-document-ai)
- [ **Google Sheets to Google Cloud Document Ai** Google Sheets](https://apiant.ai/connect/google-sheets-to-google-cloud-document-ai)
- [ **Gmail to Google Cloud Document Ai** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-google-cloud-document-ai)
- [ **Google Calendar to Google Cloud Document Ai** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-google-cloud-document-ai)

Questions

## Pneumatic and Google Cloud Document Ai, answered

###

### What can start an automation from Pneumatic?

Any of Pneumatic's 4 triggers in the catalog, including Task Completed, Workflow Completed, Task Returned and Workflow Started. Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in Google Cloud Document Ai when something happens in Pneumatic?

Any of Google Cloud Document Ai's 4 actions, including Get Processor, List Processors, Process Document from Base64 Content and Process Document from Cloud Storage. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from Google Cloud Document Ai to Pneumatic?

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

###

### Do I have to build a connector for Pneumatic or Google Cloud Document Ai?

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.
