# Use Cases

Explore practical examples of how to use API Connections to enable AI applications to interact with various types of APIs.

## Customer Support Automation

Enable AI assistants to access your customer support APIs for automated ticket management and customer inquiries.

### Customer Support Scenario

Your support team uses a ticketing system with a REST API. You want AI applications to create, update, and query support tickets.

### API Connection Configuration

**Catalog Name:** Customer Support API

**Specification Highlights:**

```
paths:

/tickets:

get:

summary: List support tickets

parameters:

- name: status

description: Filter by status (open, pending, resolved)

- name: priority

description: Filter by priority (low, medium, high, urgent)

post:

summary: Create a new support ticket

requestBody:

content:

application/json:

schema:

properties:

subject:

type: string

description:

type: string

priority:

type: string

/tickets/{id}:

get:

summary: Get ticket details

put:

summary: Update ticket status or priority
```

**Authentication:**

```
Header Name: Authorization

Header Value: Bearer your-support-api-token
```

### Customer Support AI Use Cases

- **Ticket Creation**: “Create a high-priority ticket for database connection issues”
- **Status Checks**: “What open tickets do we have with urgent priority?”
- **Updates**: “Update ticket #12345 to resolved status”

## Workflow Automation

Connect AI to project management and workflow tools for automated task management.

### Workflow Automation Scenario

Integrate with Slack, JIRA, or Asana to enable AI-driven project management.

### Example: Slack Integration

**Catalog Name:** Slack Workspace API

**Key Operations:**

- Post messages to channels
- List channels
- Create channels
- Get channel history
- Upload files

**Authentication:**

```
Header Name: Authorization

Header Value: Bearer xoxb-your-slack-bot-token
```

### Slack Integration AI Use Cases

- **Notifications**: “Post a deployment success message to #engineering”
- **Channel Management**: “Create a new channel called project-alpha”
- **Information Retrieval**: “Show me recent messages from #general”

## Data Integration

Enable AI to query and manipulate data across multiple systems.

### Data Integration Scenario

Your organization uses Snowflake for data warehousing and you want AI to query business intelligence data.

### Data Integration API Connection Configuration

**Catalog Name:** Snowflake Data Warehouse API

**Key Operations:**

- Execute SQL queries
- Get query results
- List databases and schemas
- Manage data loading

**Authentication:**

```
Header Name: Authorization

Header Value: Bearer your-snowflake-oauth-token
```

### Data Integration AI Use Cases

- **Business Intelligence**: “What were our top 10 products by revenue last month?”
- **Data Analysis**: “Show me customer sign-ups by region for Q4”
- **Reporting**: “Generate a sales summary for the executive team”

## Third-Party Service Integration

Connect AI to external services like GitHub, Stripe, or SendGrid.

### Example: GitHub Integration

**Catalog Name:** GitHub Repository API

**Key Operations:**

```
paths:

/repos/{owner}/{repo}/issues:

get:

summary: List issues

post:

summary: Create an issue

/repos/{owner}/{repo}/pulls:

get:

summary: List pull requests

/repos/{owner}/{repo}/branches:

get:

summary: List branches
```

**Authentication:**

```
Header Name: Authorization

Header Value: Bearer github_pat_your_token
```

### Third-Party Service AI Use Cases

- **Issue Tracking**: “Create a bug report for the login timeout issue”
- **PR Management**: “Show me open pull requests that need review”
- **Repository Info**: “What branches exist in the main repository?”

## Internal Microservices

Enable AI to interact with your internal microservices architecture.

### Internal Microservices Scenario

Your company has microservices for user management, billing, and analytics.

### Example: User Management Service

**Catalog Name:** Internal User Management API

**Key Operations:**

- Create user accounts
- Update user profiles
- Search users
- Manage user permissions
- Reset passwords

**Authentication:**

```
Header Name: X-Internal-API-Key

Header Value: your-internal-service-key
```

### Internal Microservices AI Use Cases

- **User Administration**: “Create a new user account for `john@example.com`”
- **User Lookup**: “Find all users in the engineering department”
- **Permission Management**: “Grant admin access to user ID 12345”

## E-commerce Operations

Integrate AI with e-commerce platforms for order management and customer service.

### Example: Order Management API

**Catalog Name:** E-commerce Order API

**Key Operations:**

```
paths:

/orders:

get:

summary: List orders

parameters:

- name: status

description: Filter by status (pending, shipped, delivered)

- name: customer_id

description: Filter by customer

post:

summary: Create a new order

/orders/{id}:

get:

summary: Get order details

put:

summary: Update order status

/orders/{id}/tracking:

get:

summary: Get shipping tracking information
```

**Authentication:**

```
Header Name: X-API-Key

Header Value: your-ecommerce-api-key
```

### E-commerce AI Use Cases

- **Order Status**: “What’s the status of order #78901?”
- **Customer Service**: “Show me all pending orders for customer ID 456”
- **Shipping Updates**: “Get tracking information for order #78901”

## Payment Processing

Connect AI to payment APIs for invoice generation and payment tracking.

### Example: Stripe Integration

**Catalog Name:** Stripe Payment API

**Key Operations:**

- Create customers
- Create payment intents
- List charges
- Generate invoices
- Process refunds

**Authentication:**

```
Header Name: Authorization

Header Value: Bearer sk_test_your_stripe_secret_key
```

### Payment Processing AI Use Cases

- **Invoice Generation**: “Create an invoice for $500 for customer cus\_123456”
- **Payment Tracking**: “Show me today’s successful charges”
- **Refund Processing**: “Issue a refund for charge ch\_789012”

## Analytics and Reporting

Enable AI to generate reports from analytics platforms.

### Example: Google Analytics API

**Catalog Name:** Google Analytics Reporting API

**Key Operations:**

- Run reports
- Get real-time data
- List accounts and properties
- Get audience metrics

**Authentication:**

```
Header Name: Authorization

Header Value: Bearer your-google-oauth-token
```

### Analytics and Reporting AI Use Cases

- **Traffic Analysis**: “What’s our website traffic for the past 7 days?”
- **User Behavior**: “Show me the top 5 landing pages by conversions”
- **Performance Metrics**: “What’s our bounce rate this month compared to last month?”

## Communication and Messaging

Integrate AI with messaging platforms for automated communications.

### Example: Twilio SMS API

**Catalog Name:** Twilio Messaging API

**Key Operations:**

- Send SMS messages
- Get message status
- List sent messages
- Get delivery reports

**Authentication:**

```
Header Name: Authorization

Header Value: Basic base64(account_sid:auth_token)
```

### Communication and Messaging AI Use Cases

- **Notifications**: “Send an SMS to +1234567890 about the server maintenance”
- **Delivery Tracking**: “Check the delivery status of message SM123456”
- **Bulk Messaging**: “Send appointment reminders to all customers”

## Content Management

Connect AI to CMS platforms for content creation and management.

### Example: WordPress REST API

**Catalog Name:** WordPress Content API

**Key Operations:**

- Create posts
- Update posts
- List posts
- Manage media
- Handle comments

**Authentication:**

```
Header Name: Authorization

Header Value: Bearer your-wordpress-app-password
```

### Content Management AI Use Cases

- **Content Creation**: “Create a draft blog post about API best practices”
- **Content Management**: “List all published posts from last week”
- **Media Handling**: “Upload an image to the media library”

## Best Practices for Use Cases

### Start Simple

Begin with a single, well-defined use case:

1. Identify one API that would benefit from AI interaction
2. Create a catalog with essential operations only
3. Test with real scenarios
4. Expand based on results

### Focus on Value

Choose APIs that provide clear business value:

- Automate repetitive tasks
- Enable faster information retrieval
- Improve customer service
- Streamline workflows

### Consider User Experience

Design connections with AI interaction in mind:

- Clear, descriptive operation names
- Helpful parameter descriptions
- Meaningful error messages
- Logical operation grouping

## Next Steps

- **[Creating API Connections](https://docs.vendia.com/platform/vendia-mcp-server/api-connections/creating-api-connections)** 
- **[Authentication and Headers](https://docs.vendia.com/platform/vendia-mcp-server/api-connections/authentication)** 
- **[Best Practices](https://docs.vendia.com/platform/vendia-mcp-server/api-connections/best-practices)** 
- **[Troubleshooting](https://docs.vendia.com/platform/vendia-mcp-server/api-connections/troubleshooting)**