Passiogo MCP Server

🚀 PassioGo_MCP_Server

An intelligent backend service for real-time interaction with traffic data in the PassioGO system. Built with FastMCP.

🚀 Quick Start

Author/Contact Information

• Name: Jozef Dusenka
• Email: dusenka.jozef@gmail.com

Instructions for Running on Claude Desktop

• This MCP server can run on any other MCP client, but the specific running steps may vary slightly.
• Download Claude Desktop (https://claude.ai/download).
• Download this repository.
• Open Claude Desktop -> File -> Settings -> Developer -> Edit Configuration.
• Open the claude_desktop_config.json file.
• If it is empty, replace it with the following content:

{
    "mcpServers": {
        "passioGo": {
            "command": "uv",
            "args": [
                "--directory",
                "C:\\Path to the \\PassioGo_MCP_Server",
                "run",
                "main.py"
            ]
        }
    }
}

• Save the changes and restart Claude Desktop.
• Now, Claude Desktop should include the available Passio Go MCP server tool and display a small hammer icon.
• The MCP client will automatically decide whether to use these tools to answer questions.

💻 Usage Examples

Example 1

User:

I'm at the Union Station of the University of Arkansas. Which buses will stop here in the next five minutes?

Claude Desktop:

I'll help you find the bus information for the Union Station. Let me check the real-time traffic system data.

Now, I'll check all the active vehicles arriving at the Union Station in the next few minutes:

Now, I'll check if there are any real-time alerts about the traffic system:

Based on the collected information, the buses that will stop at the Union Station in the next five minutes are as follows:

• Route 26 Peak (Red Shuttle #27) - Currently at or very close to the Union Station.
• Route 21 Peak (Blue Shuttle #43) - Currently near the Union Station.
• Route 48 Peak (Pink Shuttle #32) - Currently near the Union Station.

Please note that there is a real-time alert indicating that there are some issues with the Passio live map today, which may affect the accuracy of the arrival time prediction. The traffic system is called Razorback Transit of the University of Arkansas. Since the current coordinates of Shuttles #27, #43, and #32 show that they are very close to or at the Union Station, these are your best options for the next five minutes. If you need to go to a specific destination, please let me know, and I can help determine the most suitable route for you.

Example 2

User:

I want to go to the agricultural area in the north of the campus. Which buses can I take?

Claude Desktop:

I'll help you find the bus route information from the Union Station to the agricultural area in the north of the campus. Let me check which routes depart from the Union Station to the northern agricultural area.

Based on the collected information, the following are the bus routes you can take from the Union Station to reach the northern agricultural area of the University of Arkansas:

• Best Option: Route 21 Peak (Blue Shuttle) This route goes directly to the northern agricultural area and stops at the following locations:
  • Food Science (North Campus)
  • Craft Academy (Agricultural Area)
  • Garland & Sycamore
  • Fair Park Currently, the Route 21 Peak Shuttle (#43) is on its way to the Union Station and is an ideal choice to go to the northern agricultural area.
• Alternative Option: Route 26 Peak (Red Shuttle) This route also departs from the Union Station and heads north, stopping at the following locations:
  • Plant Science
  • South Creek
  • And continues to other northern areas Currently, the Route 26 Peak Shuttle (#27) is near the Union Station.
• Other Option: Route 33 Peak (Orange Shuttle) Although this route goes northwest, it is not the most direct route to the agricultural area. If you need to go to the northern agricultural area, it may not be the best choice.

I recommend taking the Route 21 Peak (Blue Shuttle) as it seems to be the most direct route to the northern agricultural area and has stops at Food Science and other agriculture-related locations.