Getting Started with Custom MCP Tools

The Model Context Protocol (MCP) allows you to extend Hopper AI with custom tools and integrations. This tutorial will walk you through creating your first custom tool.

What is MCP?

MCP is a standardized protocol for connecting AI assistants with external tools and data sources. It enables Hopper AI to interact with your favorite services and APIs.

Creating Your First Tool

Custom tools can be created using the companion app. Here's a simple example of a weather tool:

{
  "name": "get_weather",
  "description": "Get current weather for a location",
  "parameters": {
    "location": "string"
  }
}

Best Practices

• Keep tool descriptions clear and concise
• Test thoroughly before deploying
• Handle errors gracefully
• Consider rate limits and API costs

Start building your custom tools today and unlock Hopper AI's full potential!