# Google Chat Notification Setup

### Prerequisites

* Google Chat workspace access
* N8N, Zapier, or Make.com account
* klink.cloud Developer App access

### Step 1: Create Google Chat Webhook

1. Open Google Chat and navigate to your desired space
2. Click the space name → **Settings** → **Webhooks**
3. Click **Add webhook**
4. Enter a name (e.g., "klink.cloud Notifications")
5. Click **Save** and copy the webhook URL

<figure><img src="/files/iCux5MT7cET7ymVooHjW" alt=""><figcaption></figcaption></figure>

### Step 2: Enable klink.cloud Inbound Webhook

1. Log in to [klink.cloud](https://klink.cloud)
2. Go to **Settings** → **Developer App**
3. Enable **Inbound Message Webhook**
4. Enter your webhook URL in Event notification endpoint URL

<figure><img src="/files/lLL2LRFLfG3zilnOF5cx" alt=""><figcaption></figcaption></figure>

### Step 3: Setup Automation (N8N Example)

#### Create Workflow:

1. **Webhook Trigger Node**
   * Method: POST
   * Path: /klink-notifications
   * Paste this as your klink.cloud Inbound Webhook URL
2. **HTTP Request Node**
   * Method: POST
   * URL: \[Your Google Chat webhook URL from Step 1]
   * Body Content Type: JSON
   * Body:

json

```json
   {
     "text": "New message from klink.cloud:\n{{ $json.message }}"
   }
```

3. Activate the workflow

### Message Customization

Customize your notification format:

json

```json
{
  "text": "📧 *New klink.cloud Notification*\nFrom: {{ $json.customer_name }}\nMessage: {{ $json.message }}\nChannel: {{ $json.channel }}"
}
```

### Using Zapier or Make.com

Same concept applies:

* **Trigger:** Webhook (use your klink.cloud webhook URL)
* **Action:** HTTP Request to Google Chat webhook URL with JSON body

***

**Need help?** Contact klink.cloud support via Live Chat or <support@klink.cloud>&#x20;


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
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```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
