Accurately find geographic locations from IP addresses with our reliable offline IP database tool
Latitude MCP Server is designed to provide geographic location information through IP addresses by leveraging an offline IP database, ensuring fast and accurate data retrieval without the need for internet connectivity. This key feature makes it an essential component in various AI application workflows where precise location data are critical. The server acts as a bridge between AI applications and external data sources, enhancing their functionality and performance.
Latitude MCP Server integrates seamlessly with a wide range of Model Context Protocol (MCP) clients such as Claude Desktop, Continue, and Cursor. It offers robust features that include real-time geographic location updates, precise IP-to-location mapping, and offline cache support for reliability during network outages. This ensures that AI applications leveraging the server can access accurate location data without relying on internet connectivity.
The architecture of Latitude MCP Server is designed to be modular and scalable, allowing it to handle various clients and data sources efficiently. The protocol implementation adheres to strict specifications defined by the Model Context Protocol framework, ensuring compatibility across different client applications. Key components include:
Client Interaction: The server communicates with various MCP clients using a standardized protocol that includes commands for fetching location information based on IP addresses.
Offline Database Management: Latitude MCP Server utilizes an extensive offline IP database to quickly determine geographic locations without requiring constant internet access.
To get Latitude MCP Server up and running, follow these steps:
npm install @modelcontextprotocol/server-latitude
config.js
file:
{
"mcpServers": {
"latitude": {
"command": "node",
"args": ["path/to/latitude-server"],
"env": {
"API_KEY": "<your-api-key>"
}
}
}
}
npx @modelcontextprotocol/server-latitude start
Latitude MCP Server enhances several critical areas of AI workflows:
Personalized User Experiences: By integrating with services like Claude Desktop, Latitude MCP Server can provide location-based personalized content and recommendations, enhancing user engagement.
Geospatial Analytics: In applications such as Continue, Location data processed by the server can enable advanced geospatial analytics for better decision-making processes in various industries.
Latitude MCP Server is fully compatible with popular MCP clients including:
MCP Client | Resources | Tools | Prompts | Status |
---|---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ | Full Support |
Continue | ✅ | ✅ | ✅ | Full Support |
Cursor | ❌ | ✅ | ❌ | Tools Only |
For advanced configurations and security settings, you can customize the server with environment variables or additional command-line arguments. Ensure that sensitive information such as API keys are securely managed to prevent unauthorized access.
// Example configuration in JavaScript
module.exports = {
mcpServers: {
latitude: {
command: "node",
args: ["path/to/latitude-server"],
env: {
API_KEY: process.env.LATITUDE_API_KEY,
SECURITY_TOKEN: process.env.SECURITY_TOKEN
}
}
}
};
How does Latitude MCP Server ensure data accuracy?
Does this server support real-time updates for IP addresses?
Is it possible to integrate Latitude MCP Server with other tools not listed in the compatibility matrix?
What level of security does this server provide?
Can I use Latitude MCP Server without an internet connection?
Contributions to Latitude MCP Server are welcome! Developers can contribute by fixing bugs, implementing new features, and enhancing documentation. To contribute:
Explore the wider MCP ecosystem to learn more about how latitude and other servers interact with a variety of AI applications:
By understanding the integral role that Latitude MCP Server plays in enabling seamless integration across diverse AI workflows, developers can leverage its capabilities to enhance their own innovations.
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