Flightradar24 MCP Server Integration

What does “Flightradar24” MCP Server do?

The Flightradar24 MCP (Model Context Protocol) Server is a specialized tool designed to connect AI assistants with real-time flight tracking data sourced from Flightradar24. By exposing flight information through the MCP protocol, this server enables AI-powered development workflows that require live aviation data. With it, AI assistants can access up-to-date details about specific flights, view arrival and departure times, monitor flight statuses at airports, and keep track of emergency flights. This enhances the capabilities of AI agents in applications related to travel planning, aviation analysis, and situational awareness, making it a valuable asset for both enthusiasts and professionals.

List of Prompts

No information available in the repository on prompt templates.

List of Resources

No explicit resource definitions found in the repository.

List of Tools

No access to the actual server.py or similar implementation file. No tool definitions found in the provided files.

Use Cases of this MCP Server

• Real-Time Flight Tracking: Instantly retrieve up-to-date information about any flight, aiding travel planning and aviation monitoring.
• Arrival and Departure Schedules: Obtain current arrival and departure times for specific flights, useful for scheduling airport pickups or travel coordination.
• Airport Status Monitoring: View the status of all flights at a chosen airport, supporting airport operations and situational awareness.
• Emergency Flight Monitoring: Monitor emergency flights, providing vital information for safety services and newsrooms.

How to set it up

Windsurf

1. Ensure Node.js is installed on your system.
2. Locate your Windsurf configuration file.
3. Add the Flightradar24 MCP Server using the following JSON snippet:

   {
     "mcpServers": {
       "flightradar24": {
         "command": "npx",
         "args": ["@flightradar24/mcp-server@latest"]
       }
     }
   }
   

4. Save your configuration and restart Windsurf.
5. Verify the MCP server is accessible.

Claude

1. Install Node.js if not already present.
2. Open the Claude MCP configuration file.
3. Insert the server details as shown:

   {
     "mcpServers": {
       "flightradar24": {
         "command": "npx",
         "args": ["@flightradar24/mcp-server@latest"]
       }
     }
   }
   

4. Save changes and restart the Claude environment.
5. Confirm connectivity to the Flightradar24 MCP Server.

Cursor

1. Make sure Node.js is installed.
2. Find the Cursor configuration file for MCP servers.
3. Add the following configuration:

   {
     "mcpServers": {
       "flightradar24": {
         "command": "npx",
         "args": ["@flightradar24/mcp-server@latest"]
       }
     }
   }
   

4. Save the configuration and restart Cursor.
5. Test that the Flightradar24 MCP Server is working.

Cline

1. Ensure Node.js is installed.
2. Edit your Cline MCP configuration file.
3. Add the server definition:

   {
     "mcpServers": {
       "flightradar24": {
         "command": "npx",
         "args": ["@flightradar24/mcp-server@latest"]
       }
     }
   }
   

4. Save and restart Cline.
5. Make sure the MCP server is running as expected.

Securing API Keys Example

To secure API keys, use environment variables as follows:

{
  "mcpServers": {
    "flightradar24": {
      "command": "npx",
      "args": ["@flightradar24/mcp-server@latest"],
      "env": {
        "FLIGHTRADAR24_API_KEY": "${FLIGHTRADAR24_API_KEY}"
      },
      "inputs": {
        "apiKey": "${FLIGHTRADAR24_API_KEY}"
      }
    }
  }
}

Make sure to set the FLIGHTRADAR24_API_KEY variable securely in your environment.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "flightradar24": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “flightradar24” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Our opinion

Based on the documentation and repository content, the Flightradar24 MCP Server addresses a clear use case and provides basic setup instructions. However, the lack of explicit prompt, tool, and resource definitions limits its immediate utility for developers seeking out-of-the-box integrations. The project is open source and has some community interest, but would benefit from expanded documentation around MCP features.

Score: 5/10 — Good concept and basics, but limited MCP-specific details and features exposed.

MCP Score