MCP

The WATI API Reference Model Context Protocol (MCP) server enables AI-powered code editors like Cursor and Windsurf, plus general-purpose tools like Claude Desktop, to interact directly with your WATI API Reference API and documentation.

What is MCP?

Model Context Protocol (MCP) is an open standard that allows AI applications to securely access external data sources and tools. The WATI API Reference MCP server provides AI agents with:

• Direct API access to WATI API Reference functionality
• Documentation search capabilities
• Real-time data from your WATI API Reference account
• Code generation assistance for WATI API Reference integrations

WATI API Reference MCP Server Setup

WATI API Reference hosts a remote MCP server at https://docs.wati.io/mcp. Configure your AI development tools to connect to this server. If your APIs require authentication, you can pass in headers via query parameters or however headers are configured in your MCP client.

{
  "mcpServers": {
    "wati-api": {
      "url": "https://docs.wati.io/mcp"
    }
  }
}

{
  "mcpServers": {
    "wati-api": {
      "url": "https://docs.wati.io/mcp"
    }
  }
}

{
  "mcpServers": {
    "wati-api": {
      "url": "https://docs.wati.io/mcp"
    }
  }
}

Testing Your MCP Setup

Once configured, you can test your MCP server connection:

1. Open your AI editor (Cursor, Windsurf, etc.)
2. Start a new chat with the AI assistant
3. Ask about WATI API Reference - try questions like:
   • "How do I [common use case]?"
   • "Show me an example of [API functionality]"
   • "Create a [integration type] using WATI API Reference"

The AI should now have access to your WATI API Reference account data and documentation through the MCP server.