# Aviation & Flight Tracking MCP — Live Aircraft for AI Agents (`nexgendata/aviation-flight-tracking-mcp-server`) Actor MCP server: live flight tracking for AI agents (adsb.lol ADS-B) — find aircraft near any point/radius, track by ICAO hex, search by callsign/airline, summarize airspace over a city/airport. For aviation, OSINT & awareness. - **URL**: https://apify.com/nexgendata/aviation-flight-tracking-mcp-server.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** MCP servers, AI, Travel - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $30.00 / 1,000 tool calls This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## ✈️ Aviation & Live Flight Tracking MCP Server **Give your AI agent eyes in the sky.** Track live aircraft anywhere on Earth, look up any flight by its transponder address, find every plane an airline has airborne right now, and summarize the traffic over a city or airport — live from the adsb.lol community ADS-B network, through the Model Context Protocol. > Built by **NexGenData**. Connect once and your agent can answer "what's flying over me," monitor a fleet, or build situational-awareness dashboards on demand. --- ### ⚡ What you get | Tool | What it does | Data source | |---|---|---| | `flights_near` | All live aircraft within a radius of a point | adsb.lol | | `track_aircraft` | Live position of one aircraft by ICAO24 | adsb.lol | | `search_by_callsign` | Find live flights by airline / callsign prefix | adsb.lol | | `airspace_summary` | Traffic summary for a region (airborne, on-ground, types) | adsb.lol | Each aircraft record includes callsign, ICAO24 hex, registration, aircraft type, position, baro/geo altitude, ground speed, heading, vertical rate, and squawk. --- ### 🎯 Use cases - **"What's flying over me?"** — real-time aircraft for any lat/lon point + radius. - **Fleet / tail monitoring** — track a specific aircraft by its ICAO24 address. - **Airline ops awareness** — list every flight an airline (e.g. UAL, DLH, FDX) has airborne. - **Airport / region situational awareness** — summarize traffic density and origins. - **Travel & logistics agents** — enrich itineraries with live position context. --- ### 🚀 How to connect ```json { "mcpServers": { "aviation": { "url": "https://nexgendata--aviation-flight-tracking-mcp-server.apify.actor/mcp", "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" } } } } ```` Get a free Apify token at [apify.com](https://www.apify.com/?fpr=2ayu9b). *** ### 📊 Sample inputs ```text flights_near(lat=47.0, lon=8.0, radius_nm=50, max_results=25) track_aircraft(icao24="4b1815") search_by_callsign(callsign="UAL", max_results=10) airspace_summary(lat=40.7, lon=-74.0, radius_nm=100) ``` ### 📦 Sample output (flights\_near) ```json { "center": { "lat": 47.0, "lon": 8.0 }, "radius_nm": 50, "total_in_range": 41, "aircraft": [ { "icao24": "400afd", "callsign": "EFW65TM", "registration": "G-EUXE", "aircraft_type": "A321", "latitude": 47.18, "longitude": 7.62, "baro_altitude_ft": 34000, "ground_speed_kt": 392.3, "true_track_deg": 308.27 } ], "source": "adsb.lol" } ``` *** ### 🧠 How it works A **standby MCP server** that holds a live session and answers tool calls against the adsb.lol public REST API. adsb.lol aggregates ADS-B/Mode-S data from a global volunteer receiver network. No data-source API key required; results are normalized into clean, agent-friendly JSON. *** ### 🔗 Related NexGenData Actors - [FAA Aircraft Registry Scraper](https://www.apify.com/nexgendata/faa-aircraft-registry-scraper?fpr=2ayu9b) - [FAA Airworthiness Directives & Aviation Safety](https://www.apify.com/nexgendata/faa-airworthiness-directives-nasa-asrs-aviation-safety?fpr=2ayu9b) - [Travel MCP Server](https://www.apify.com/nexgendata/travel-mcp-server?fpr=2ayu9b) - [Weather MCP Server](https://www.apify.com/nexgendata/weather-mcp-server?fpr=2ayu9b) - [Google Maps MCP Server](https://www.apify.com/nexgendata/google-maps-mcp-server?fpr=2ayu9b) *** ### 💵 Pricing Pay-per-event: a small fee per successful **tool call** plus a one-time actor-start. No subscription. See the live pricing tab for current rates. Run your automations on [Apify](https://www.apify.com/?fpr=2ayu9b). *** ### ⚖️ Legal Flight data is sourced from the adsb.lol community network and reflects publicly broadcast ADS-B/Mode-S transponder signals. Coverage depends on the volunteer receiver network and is not guaranteed complete. Not for navigation, safety-of-life, or air-traffic-control use. Respect adsb.lol's terms of use. *** ### ❓ FAQ **Q: Is the data live?** Yes — each call returns the latest adsb.lol snapshot. **Q: What's an ICAO24?** A unique 24-bit hex transponder address per aircraft (e.g. `4b1815`). **Q: Why is a plane missing?** It may be on the ground, out of receiver coverage, or not broadcasting ADS-B. **Q: Do I need an adsb.lol account?** No — only your Apify token. adsb.lol is keyless and free. **Q: Can I search a whole airline?** Yes — `search_by_callsign` matches the airline's callsign prefix. **Q: How many aircraft per call?** Up to 100 for `flights_near`; tune with `max_results`. **Q: Works with Claude / Cursor / Windsurf?** Yes — any MCP client over streamable-HTTP. *** ### 🛠️ Troubleshooting - **Empty result** → widen the radius or check that aircraft are airborne there. - **`track_aircraft` returns nothing** → the tail isn't transmitting right now; try a busy airspace. - **Callsign returns nothing** → that flight may not be airborne right now; try the airline-code prefix. - **Rate limited** → adsb.lol throttles heavy bursts; wait and retry. - **Idle disconnect** → the server closes idle sessions to save compute; reconnect. *** ### 🏢 About NexGenData NexGenData builds production MCP servers and data actors for AI agents across finance, legal, regulatory, IP, government, aviation, and travel. See the full catalog on [Apify](https://www.apify.com/nexgendata?fpr=2ayu9b). # Actor input Schema ## Actor input object example ```json {} ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/aviation-flight-tracking-mcp-server").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("nexgendata/aviation-flight-tracking-mcp-server").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call nexgendata/aviation-flight-tracking-mcp-server --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/aviation-flight-tracking-mcp-server", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Aviation & Flight Tracking MCP — Live Aircraft for AI Agents", "description": "MCP server: live flight tracking for AI agents (adsb.lol ADS-B) — find aircraft near any point/radius, track by ICAO hex, search by callsign/airline, summarize airspace over a city/airport. For aviation, OSINT & awareness.", "version": "0.0", "x-build-id": "9FyGM3BOSgNBHcBDa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~aviation-flight-tracking-mcp-server/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-aviation-flight-tracking-mcp-server", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~aviation-flight-tracking-mcp-server/runs": { "post": { "operationId": "runs-sync-nexgendata-aviation-flight-tracking-mcp-server", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~aviation-flight-tracking-mcp-server/run-sync": { "post": { "operationId": "run-sync-nexgendata-aviation-flight-tracking-mcp-server", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": {} }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```