flightradar24-mcp-server is a Model Context Protocol (MCP) server designed to track flights in real-time using Flightradar24 data. It integrates with Claude Desktop and allows users to monitor flight statuses, arrival and departure times, emergency flights, and more. It's ideal for aviation enthusiasts, travel planners, or anyone interested in tracking flights.
This server provides real-time flight tracking capabilities through the Flightradar24 API. It enables users to query specific flight details, view airport statuses, and monitor emergency flights. The tool is especially useful for those who need quick access to accurate aviation data.
The flightradar24-mcp-server was developed by sunsetcoder and is available on GitHub under the repository name sunsetcoder/flightradar24-mcp-server.
You can set it up on your local machine by cloning the repository from GitHub, installing dependencies, and integrating it with Claude Desktop. The configuration requires setting environment variables like the Flightradar24 API key and ensuring paths are correctly specified in the Claude Desktop configuration file.
The project information provided mentions a timestamp of December 13, 2024, which could indicate its latest update or documentation revision date.
Yes, you need a Flightradar24 API key, which can be obtained from Flightradar24's website. This key must be added to the .env file and the Claude Desktop configuration file for the server to function properly.
Check if your Flightradar24 API key is valid, verify that the API URL is correct, and review server logs for any error messages. Additionally, ensure all paths in the configuration files are accurate and use forward slashes even on Windows systems.
Yes, you can track international flights arriving at specific airports within a defined timeframe by asking Claude relevant queries once the server is configured.
Yes, accessing Flightradar24's API requires a subscription. Ensure your account has an active subscription before using the flightradar24-mcp-server.
You can ask questions like 'What’s the ETA for a specific flight?', 'Show me all flights currently at a specific airport', 'Are there any emergency flights nearby?', or 'How many commercial flights are over a certain region?'
MCP (Model Context Protocol) is an open protocol designed to standardize how applications provide context information to large language models (LLMs). Like a 'USB-C port' for AI applications, MCP ensures AI models can seamlessly connect with various data sources and tools.
An MCP Server is a server that supports the MCP protocol, enabling the exchange of contextual information between applications and AI models in a standardized way. It provides developers with an easy way to integrate AI models with databases, APIs, or other data sources.
An MCP Server eliminates the complexity of developing custom adapters by unifying the connection between AI models and various data sources. Whether you're a developer, data scientist, or AI app builder, an MCP Server simplifies the integration process, saving time and resources.
An MCP Server acts as an intermediary bridge, converting contextual information from various data sources into a format that AI models can understand. By adhering to the MCP protocol, it ensures data is transmitted between applications and AI models in a standardized manner.
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The MCP Server Directory on mcpserver.shop is free to browse. However, some servers are hosted by third-party providers and may involve usage fees. Check the detailed page of each server for specific information.
MCP Servers support a wide range of data sources, including databases, APIs, cloud services, and custom tools. The flexibility of the MCP protocol allows it to connect almost any type of data source to AI models.
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