GPS-Trace MCP Server: Making data easy with Model Context Protocol

As AI technology advances and changes industries around the world, our team is committed to keeping up with the latest developments. We recognized that conversational AI could be used to make vehicle data more accessible and useful for our customers.

So we're excited to announce our new Model Context Protocol (MCP) server. This solution makes it easier for users to interact with their vehicle data through AI assistants.
Now you can access your account  information by simply asking questions, without having to navigate through the traditional application interface.

How MCP Works

Model Context Protocol (MCP) is a way for AI systems to safely access real-time information from outside sources. Think of it as a secure bridge that connects AI models to the data they need.
Traditional AI systems are limited to the information they were trained on, but MCP solves this problem by allowing AI to request and receive fresh data when needed.

When an AI assistant needs information it doesn't have, it sends a request to an MCP server. This server connects to databases, APIs, or other services to get the information, then sends back only the data the AI needs in a format it can understand.
This approach means AI assistants can give you more helpful, up-to-date answers while maintaining privacy and security.

MCP Server on ruhavik.com

On the ruhavik.com website, users can already interact with our AI assistant. Now, this assistant has been enhanced with an MCP server that transforms how users interact with their vehicle data.
This implementation allows users to access comprehensive information:

• Account information
• Unit details and status
• Unit events
• Mileage, engine hours statistics
• Geofences data
• Data by parameters

Furthermore, using the AI assistant on ruhavik.com, you can generate charts based on your account data for easier statistical analysis.

These charts can be downloaded in various formats for your convenience.

Users can now interact with their vehicle data in natural language. For example:

• "Show me the total mileage for my car"
• "Which of my vehicles has the lowest battery level?"
• "Generate a speed chart of my vehicle over the past hour"

The AI assistant, connected to GPS-Trace MCP server, retrieves this information instantly and presents it in a conversational manner, often including charts and graphs for better visualization.

To access this functionality, you simply need to be logged in to your account on the ruhavik.com website.

How Developers can connect to our MCP Server

Developers can integrate their own AI solutions with the GPS-Trace MCP server to create custom applications. Access to the MCP server tools is available through an authorization token, which can be obtained by logging into your application account.

To connect to our MCP server:

1. Get your authorization token from your Ruhavik account.
   
2. Configure your AI integration (OpenAI, Anthropic or other compatible AI platforms) to use our MCP endpoint: https://mcp.gps-trace.com/sse
   For implementation guidance, you can:
   • Use the MCP Inspector tool for testing your integration
   • Refer to the Model Context Protocol documentation for libraries and integration examples
3. Send requests with your token in the authorization header:
   Authorization: "Bearer <your token>"

This integration enables you to build custom dashboards, reporting tools, and automated workflows using your vehicle data.

Our MCP server makes vehicle data easier to access and use. By connecting AI assistants directly to your information, we've created a simpler way for you to understand what's happening with your vehicles.

This is just the beginning. We plan to enhance this technology further and extend MCP capabilities across all solutions in our platform.

Try it today and experience the future of vehicle data interaction!