For AI coding agents - IP Geolocation services

The Fastah docs - IP Geolocation and IP Security 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 Fastah docs - IP Geolocation and IP Security 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 Fastah docs - IP Geolocation and IP Security MCP server provides AI agents with:

• Direct API access to Fastah docs - IP Geolocation and IP Security functionality
• Documentation search capabilities
• Real-time data from your Fastah docs - IP Geolocation and IP Security account
• Code generation assistance for Fastah docs - IP Geolocation and IP Security integrations

Fastah docs - IP Geolocation and IP Security MCP Server Setup

Fastah docs - IP Geolocation and IP Security hosts a remote MCP server at https://docs.getfastah.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": {
    "fastah": {
      "url": "https://docs.getfastah.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 Fastah docs - IP Geolocation and IP Security - try questions like:
   • "How do I [common use case]?"
   • "Show me an example of [API functionality]"
   • "Create a [integration type] using Fastah docs - IP Geolocation and IP Security"

The AI should now have access to your Fastah docs - IP Geolocation and IP Security account data and documentation through the MCP server.