Official MCP server for ipgeolocation.io

Official MCP Server for ipgeolocation.io

This repository provides the official MCP (Multi-Channel Protocol) server implementation for ipgeolocation.io. It's designed to offer a robust and efficient way for developers to integrate comprehensive IP geolocation data and related services into their applications. By leveraging the MCP protocol, this server facilitates seamless communication and data exchange, making it a valuable component for any AI builder or developer working with location-based intelligence.

What it Does

The ipgeolocation.io MCP server acts as a central hub for accessing a wide array of IP-related data. It processes incoming requests and returns detailed information about IP addresses. This includes core geolocation data such as country, region, and city, alongside more advanced features like VPN and proxy detection, timezone information, and Autonomous System Number (ASN) details. It also supports user-agent parsing, enabling deeper insights into the client making the request.

Key Features

• IP Geolocation: Accurate mapping of IP addresses to geographical locations.
• VPN/Proxy Detection: Identifies if an IP address is associated with a VPN or proxy service.
• Timezone Information: Provides the local timezone for a given IP address.
• Astronomy Data: Offers astronomical data relevant to the IP address's location.
• ASN Lookup: Retrieves the Autonomous System Number and associated network information.
• User-Agent Parsing: Decodes user-agent strings to identify browser, OS, and device details.
• MCP Protocol: Utilizes the efficient Multi-Channel Protocol for communication.

Who it's For

This MCP server is specifically tailored for AI builders and developers who require reliable and detailed IP intelligence. It is ideal for projects involving:

• Geofencing and Location-Based Services: Building applications that respond to user location.
• Fraud Detection: Identifying suspicious IP activity, such as VPN usage or unusual locations.
• Content Personalization: Tailoring content based on user geographical data.
• Network Analysis: Understanding network infrastructure and user origins.
• Security Applications: Enhancing security measures by analyzing IP characteristics.

The source code is available on GitHub, allowing for transparency and potential customization.