IP Geolocation MCP Server: Enhancing AI Application Integration through Model Context Protocol

Overview: What is IP Geolocation MCP Server?

The IP Geolocation MCP Server is a specialized tool that integrates into broader AI ecosystems, leveraging the Model Context Protocol (MCP) to provide location-based data about an IP address. By using external APIs such as ipinfo.io, it offers detailed geolocation information which can be pivotal in various applications ranging from user experience enhancements to security measures.

🔧 Core Features & MCP Capabilities

At its core, this server serves to bridge traditional APIs like ipinfo.io with the versatile capabilities of Model Context Protocol. The IP Geolocation MCP Server ensures seamless integration with AI applications by handling requests and providing robust, location-specific data that enriches user interactions.

Tools

• get_ip_details: This tool is designed to fetch comprehensive details about an IP address using the ipinfo.io API. It supports structured queries and returns a detailed IPDetails object, enriched with location, organization, and country information.

MCP Architecture & Protocol Implementation

The architecture of this server is meticulously crafted to adhere to MCP standards while also offering flexibility through custom configuration options. The protocol flow involves communication between an AI application (using an MCP client), the MCP Server itself, and finally, connecting to external data sources such as ipinfo.io for geolocation services.

Mermaid Diagram 1: MCP Protocol Flow

graph TD
    A[AI Application] -->|MCP Client| B[MCP Protocol]
    B --> C[MCP Server]
    C --> D[Data Source/Tool]
    style A fill:#e1f5fe
    style C fill:#f3e5f5
    style D fill:#e8f5e8

Mermaid Diagram 2: Data Architecture

graph LR
    U["User Device"] -->|MCP Client Request| S["IP Geolocation MCP Server"]
    S -->|API Call| I[IpInfo.io API]
    I -->|Data Response| S -->|MCP Response| U

🚀 Getting Started with Installation

To deploy the IP Geolocation MCP Server effectively, follow these steps:

1. Secure an API Token

   • Create a token to use the ipinfo.io API by signing up at https://ipinfo.io/signup. This token will be required for authentication.

2. Configure Your Environment

   • Open your claude_desktop_config.json file and add the following configuration:

     "ipinfo": {
       "command": "uvx",
       "args": [
         "--from",
         "git+https://github.com/briandconnelly/mcp-server-ipinfo.git",
         "mcp-server-ipinfo"
       ],
       "env": {
         "IPINFO_API_TOKEN": "<YOUR TOKEN HERE>"
       }
     }
     

3. Test the Setup

   • Ensure that your server is running correctly by sending a test query through the MCP client.

💡 Key Use Cases in AI Workflows

This IP Geolocation MCP Server offers several practical applications, particularly in scenarios requiring location-based services:

1. Dynamic Content Delivery: Tailor content to the user’s geographical region based on their IP address.
2. Enhanced Security Measures: Implement access controls or monitor traffic patterns by leveraging accurate geographic data.

Real-World Workflow Example

Consider a situation where an e-commerce platform needs to display localized content and services for users. By integrating this MCP Server, the platform can fetch real-time location details for each user, thereby offering personalized product recommendations and special offers relevant to their region.

🔌 Integration with MCP Clients

The IP Geolocation MCP Server is designed to work seamlessly with several MCP clients:

• Claude Desktop: Full integration, allowing extensive use of geolocation features.
• Continue: Supports most functionalities but lacks some advanced settings.
• Cursor: Limited compatibility due to its specialized nature.

📊 Performance & Compatibility Matrix

MCP Client	Resources	Tools	Prompts
Claude Desktop	✅	✅	✅
Continue	✅	✅	✅
Cursor	❌	✅	❌

🛠️ Advanced Configuration & Security

MCP Configuration Sample

{
  "mcpServers": {
    "ipinfo": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-ipinfo"],
      "env": {
        "API_KEY": "your-api-key"
      }
    }
  }
}

Security Considerations

Ensure that your API tokens and other sensitive data are securely stored. Use environment variables or secure vaults to manage secrets like IPINFO_API_TOKEN.

❓ Frequently Asked Questions (FAQ)

1. Q: Can this MCP Server work with multiple clients?
   A: Yes, the server is compatible with several MCP clients including Claude Desktop and Continue.

2. Q: How frequently can I query the geolocation data?
   A: The ipinfo.io API provides a robust rate limit of 100 requests per second for authenticated users.

3. Q: Is there any configuration required to use this server?
   A: Yes, you need to provide your IPInfo API token within the environment variables or configuration file.

4. Q: Can I customize prompts with geolocation data?
   A: While not directly supported by the MCP protocol, you can create custom queries that include geolocation details as parameters.

5. Q: Does this server support reverse geocoding for IP addresses?
   A: Yes, the tool supports fetching location-based information from ipinfo.io including reverse geocoding capabilities.

👨‍💻 Development & Contribution Guidelines

Contributions are welcome! If you wish to contribute to the project, follow these guidelines:

• Fork and clone the repository.
• Make your changes and ensure they don't conflict with recent updates.
• Submit a pull request detailing any new features or bug fixes.

🌐 MCP Ecosystem & Resources

Explore more about Model Context Protocol on the official website: https://modelcontextprotocol.io. For further learning, dive into our documentation and community forums to engage with developers using similar tools.

By integrating the IP Geolocation MCP Server, you can significantly enhance the functionality of AI applications across a wide range of use cases.