What is MCP?

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

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

Review Management MCP Server Setup

Review Management hosts a remote MCP server at https://docs.shoutaboutus.com/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": {
    "reputation-management": {
    "type": "http",
    "url": "https://docs.shoutaboutus.com/mcp"
    }
}
}

{
  "mcpServers": {
    "reputation-management": {
      "url": "https://docs.shoutaboutus.com/mcp"
    }
  }
}

{
  "mcpServers": {
    "reputation-management": {
      "url": "https://docs.shoutaboutus.com/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 Review Management - try questions like:
   • "How do I [common use case]?"
   • "Show me an example of [API functionality]"
   • "Create a [integration type] using Review Management"

The AI should now have access to your Review Management account data and documentation through the MCP server.