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Learn how to use MCP connections effectively by watching real examples of WonkaChat working with your business systems.
These examples demonstrate the power of MCP connections, showing how AI can interact with your business systems through natural conversation.

Real-World MCP Examples

Watch these examples to see how MCP connections work with different types of business systems.

Managing Emails with AI

See how WonkaChat connects to Gmail to help you manage emails, create drafts, and stay organized only by using natural language conversation.

Common Gmail Use Cases

Daily Briefing

“Give me my daily briefing: today’s calendar, unread emails from my team, and any urgent items”

Meeting Preparation

“Find all emails about the Q4 planning meeting and summarize the key discussion points”

Email Cleanup

“Show me emails older than 30 days from newsletters and promotional senders”

Follow-Up Tracking

“Which emails am I waiting for responses on? Show me emails I sent that haven’t been replied to”
The same capabilities shown with Gmail work identically with Outlook, or any other email and calendar provider that has an MCP server available. Just connect the corresponding MCP instead!

Tips for Effective Business System Usage

When you first connect a business system:
  1. Test basic access: “Show me my recent items”
  2. Verify permissions: Try read operations before write operations
  3. Explore capabilities: Ask “What can you do with [business system]?”
  4. Gradually increase complexity: Start simple, then combine operations
Don’t worry about getting the query perfect. Just describe what you want in natural language and the AI will figure out the right business system operations.
While AI handles natural language well, specific details improve results:Less Specific:
"Show me emails"
Result: May return too many results or default to todayMore Specific:
"Show me unread emails from my manager this week"
Result: Precisely filtered resultsEven More Specific:
"Find emails from [email protected] with 'budget' in subject, received in the last 30 days"
Result: Exactly what you need
Adding time boundaries improves performance and relevance:
  • “today” / “this week” / “this month”
  • “in the last 7 days”
  • “between January 1 and January 31”
  • “after March 15th”
  • “before the end of Q2”
Example:
"Show me Slack messages in #engineering from yesterday"
Much faster than querying all messages ever sent.
You can ask AI to perform multiple operations in sequence:
"Check my calendar for availability tomorrow afternoon, 
then email those times to [email protected]"
AI will:
  1. Connect to calendar MCP
  2. Find available slots
  3. Connect to email MCP
  4. Draft and send email
No need to break it into separate queries!
For operations that modify data (send, create, update, delete):
  • Ask the AI to show you a preview before any changes are made
  • Review the proposed action thoroughly before approving it
  • Request modifications as needed: “Make the email more formal”
  • Always verify recipient addresses and all critical information
  • Direct the AI when you want to pause: “Don’t send this yet, just show me the draft”
To enhance safety, we provide a Safe Mode that keeps you in control whenever agents or AI models perform actions. When Safe Mode is enabled, you must explicitly approve or reject all modifications before they take effect.
Learn more in the Safe Mode: Human-in-the-Loop section.
Some actions—such as sending emails or creating orders—may be irreversible. Always double-check your intent before confirming the AI to proceed.
You now have a complete understanding of how MCP connections work in practice. Start connecting business systems and experimenting with your own use cases!