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FlightRadar24 MCP Server

MCP Server

Real‑time flight tracking for Claude Desktop users

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Updated Dec 25, 2024

About

A Claude Desktop MCP server that pulls live data from FlightRadar24’s API, enabling users to query flight status, ETA, airport traffic and emergencies directly within Claude.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Flightradar24 MCP server in action

Overview

The Sunsetcoder Flightradar24 MCP Server is a lightweight bridge that lets Claude Desktop and other MCP‑compatible AI assistants pull live flight data directly from Flightradar24’s API. By exposing a set of intuitive tools—such as trackFlight, flightStatus, airportOverview, and emergencyAlert—the server transforms raw aviation telemetry into conversationally useful facts. Developers can therefore ask natural‑language questions like “What’s the ETA for UA123?” or “Show me all flights currently at SFO,” and receive instant, accurate responses without leaving the chat interface.

Problem Solved

Aviation data is notoriously siloed behind paid APIs and complex SDKs. Traditional integration requires developers to write custom HTTP clients, handle pagination, parse JSON, and manage authentication tokens. The Flightradar24 MCP Server abstracts all of that complexity behind a standard MCP protocol, allowing AI assistants to request flight information with simple tool calls. This eliminates the need for bespoke code in every application, reduces latency by caching responses locally, and ensures consistent error handling across different user environments.

Key Features & Capabilities

  • Real‑time flight tracking – Retrieve position, speed, altitude, and heading for any flight ID.
  • Schedule information – Get scheduled departure/arrival times, delays, and gate data.
  • Airport status aggregation – View all flights at a specified airport, filtered by status (enroute, landed, delayed).
  • Emergency flight detection – Monitor for declared emergencies in a geographic region or around a specific airport.
  • Flexible query parameters – Tools accept flight numbers, IATA codes, or geographic coordinates, enabling a wide range of conversational scenarios.

These capabilities are exposed through MCP resources that the server registers automatically when started, so developers only need to reference the tool names in their prompts.

Use Cases & Real‑World Scenarios

  • Travel planners can ask for the latest departure times and gate changes, helping travelers adjust itineraries on the fly.
  • Aviation enthusiasts benefit from instant flight path visualizations and status updates for their favorite aircraft.
  • Airport operations teams can embed the server into internal dashboards, giving staff quick access to emergency flight alerts and overall traffic density.
  • Flight simulation communities can use the MCP server to feed live data into training modules, creating more realistic scenarios.

Integration with AI Workflows

Because the server follows the MCP specification, it plugs seamlessly into any Claude Desktop workflow. Once configured in the file, AI assistants automatically discover the available tools and can invoke them as part of a prompt. The server handles authentication, rate limiting, and error translation, so the assistant’s reasoning engine can focus on generating human‑readable responses. Developers can further extend the server by adding custom tools or combining existing ones to build composite actions, such as “summarize all flights over the Pacific Ocean in the last hour.”

Unique Advantages

  • Zero-code client integration – No custom HTTP clients or SDKs are required; the MCP server manages all communication.
  • Open‑source and MIT licensed – Developers can modify the server to fit niche requirements or contribute improvements back to the community.
  • Cross‑platform compatibility – Works on macOS, Windows, and Linux as long as Claude Desktop is installed.
  • Security by design – API keys are supplied via environment variables and never committed to source control, reducing the risk of accidental exposure.

Overall, the Sunsetcoder Flightradar24 MCP Server empowers developers to enrich AI assistants with real‑time aviation data, enabling richer user experiences across travel, simulation, and operational domains.