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MCP Geo

This project demonstrates how to obtain user geolocation information through EdgeOne Pages Functions and integrate it with large language models using the MCP protocol.
2 points
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What is the Model Context Protocol (MCP) server?

The MCP server is an interface service that allows large language models to access external tools and data through a specific protocol. It provides the ability to extend the functionality of AI models, such as obtaining user geolocation information.

How to use the MCP server?

The MCP server is usually integrated with AI models through a configuration file. The model can call the tools provided by the server, such as `get_geolocation`, to obtain user location information and use this data in conversations.

Applicable scenarios

Suitable for AI applications that need to provide personalized content based on user location, such as localized recommendations and regional services. It is also suitable for developers who want to integrate external data or tools into AI conversations.

Main Features

Geolocation InterfaceProvides AI models with the ability to access user geographic information through the MCP protocol, including city, country, latitude, and longitude.
Modular IntegrationThe MCP server supports a flexible plug - in structure and can easily integrate various external tools and services.
Secure Data AccessEnsures that only legitimate AI models can access sensitive data through authentication and authorization mechanisms.

Advantages and Limitations

Advantages
Improve the interaction ability of AI models, enabling them to make decisions based on real data.
Simplify the process for developers to connect external services to AI.
Support cross - platform and cross - system data sharing and function calls.
Limitations
Requires certain technical knowledge to configure and maintain the server.
May introduce additional latency, affecting real - time response speed.
Depends on the stability of external services. If the service is unavailable, it will affect the model's performance.

How to Use

Install the MCP Server
Download and install the operating environment of the MCP server, such as Node.js and related dependencies.
Configure the MCP Server
Modify the configuration file according to the documentation requirements and specify the tools and interfaces to be used.
Integrate into the AI Model
Add the connection configuration of the MCP server to the AI model so that the model can call the tools it provides.

Usage Examples

User Location QueryThe AI model asks the user for their current city and obtains geographic information through the MCP server.
Location - Based RecommendationThe AI model recommends local restaurants or attractions based on the user's location.

Frequently Asked Questions

Does the MCP server have to be used with an AI model?
How to test if the MCP server is working properly?
Does the MCP server support multiple languages?

Related Resources

Model Context Protocol Official Documentation
Understand the detailed description and implementation method of the MCP protocol.
EdgeOne Pages Documentation
Learn how to use EdgeOne Pages to create and deploy page functions.
GitHub Example Code
View the example code and configuration method of the MCP server.
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "edgeone-geo-mcp-server": {
      "command": "tsx",
      "args": ["path/to/mcp-server/index.ts"]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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