mcp-geo-server MCP Server: Geographic Data Processing for AI Applications

Overview: What is mcp-geo-server?

mcp-geo-server is an advanced geographic data processing tool server built on the Model Context Protocol (MCP). It facilitates coordinate system transformations, distance calculations, and area computations, providing essential spatial analysis features for various applications. This server serves as a powerful backend component, enabling AI tools such as Claude Desktop, Continue, Cursor, and others to perform complex geographical operations seamlessly.

🔧 Core Features & MCP Capabilities

Coordinate System Conversion

mcp-geo-server supports the conversion between several key geographic coordinate systems: BD09 (Baidu), GCJ02 (China's national geodetic system - Mars coordinate system), WGS84 (GPS), and Web Mercator. Users can perform mutual conversions between these coordinates using the mcp_geo_convert tool. Examples of supported conversion methods include:

• BD09 to GCJ02
• GCJ02 to WGS84
• Web Mercator to latitude-longitude
• Latitude-longitude to Web Mercator

Spatial Calculation Functions

The server offers tools for spatial calculations, including:

1. Distance Calculation: Computes the distance of a line using Web Mercator projection.

   • Unit options: meters and kilometers
   • CoordType options: WGS84 (default), GCJ02, and BD09

2. Area Calculation: Calculates the area of polygons based on Web Mercator projection.

   • Unit options: square meters, square kilometers, and hectares
   • CoordType options: WGS84 (default), GCJ02, and BD09

MCP Architecture & Protocol Implementation

The core functionality of mcp-geo-server is built around the Model Context Protocol. This protocol allows seamless integration between AI applications and the server through a standardized interface. The server receives requests from MCP clients, processes the geographic data, performs necessary calculations, and returns the results to the client.

graph TD
    A[AI Application] -->|MCP Client| B[MCP Protocol]
    B --> C[MCP Server]
    C --> D[Data Source/Tool]

🚀 Getting Started with Installation

To install mcp-geo-server, follow the steps below:

{
  "type": "stdio",
  "command": "npx",
  "args": [
    "-y",
    "@zealgeo/mcp-geo-server"
  ]
}

💡 Key Use Cases in AI Workflows

1. Route Planning: Utilize coordinate system conversions and distance calculations to plan efficient routes for autonomous vehicles or delivery drones.
2. Environmental Analysis: Measure the area of affected zones during natural disasters or environmental incidents using geographic data.

MCP Client Compatibility Matrix

mcp-geo-server is compatible with several MCP clients, providing a robust integration framework:

MCP Client	Resources	Tools	Prompts	Status
Claude Desktop	✅	✅	✅	Full Support
Continue	✅	✅	✅	Full Support
Cursor	❌	✅	❌	Tools Only

🔌 Integration with MCP Clients

AI applications can integrate with mcp-geo-server by leveraging the Model Context Protocol. The following example demonstrates how to set up an MCP client for mcp-geo-server:

const MCPClient = require('@modelcontextprotocol/client');

const geoServerConfig = {
  command: 'npx',
  args: ['-y', '@zealgeo/mcp-geo-server'],
  env: {
    API_KEY: 'your-api-key'
  }
};

client = new MCPClient(geoServerConfig);

📊 Performance & Compatibility Matrix

The server is optimized for high-performance operations and compatibility with a variety of geographic data sources. Here’s an overview:

Server Feature	Description
Coordinate Conversion	Converts between BD09, GCJ02, WGS84, and Web Mercator
Distance Calculation	Uses Web Mercator projection for accurate results
Area Calculation	Calculates areas based on Web Mercator

🛠️ Advanced Configuration & Security

For advanced configuration and security customization, refer to the detailed documentation provided by mcp-geo-server:

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

❓ Frequently Asked Questions (FAQ)

1. How do I integrate mcp-geo-server with an AI application?

   • Use the MCP Client to send requests and receive responses from the server.

2. Can mcp-geo-server handle large-scale data sets?

   • The server is optimized for medium-sized datasets. For large-scale operations, consider using specialized geospatial servers.

3. What are the supported coordinate systems for distance calculation?

   • The calculation methods support distances using Web Mercator projection coordinates.

4. How do I obtain API keys for MCP clients?

   • Contact your MCP application provider or consult their documentation for obtaining API keys.

5. Are there any limitations on area calculations with mcp-geo-server?

   • While the server can handle most areas, large geographical scales may require additional configurations or tools.

👨‍💻 Development & Contribution Guidelines

Developers interested in contributing to mcp-geo-server should follow these guidelines:

1. Fork the repository.
2. Implement features and bug fixes.
3. Test thoroughly using existing test suites.
4. Submit a pull request with detailed documentation updates.

🌐 MCP Ecosystem & Resources

Explore the broader MCP ecosystem, which includes other services and libraries compatible with the protocol:

• MCP Documentation: https://modelcontextprotocol.io
• Community Forums: Join the community to ask questions and share insights at https://forum.modelcontextprotocol.io

By partnering with mcp-geo-server, AI applications can perform complex geographical operations efficiently and accurately, leveraging the power of MCP for robust integration and advanced functionality.