NOAA Aviation Weather MCP. Get real-time and forecasted flight safety data globally.
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NOAA Aviation — Airport Weather Intelligence delivers critical aviation weather data globally via ICAO codes. Get current airport conditions (METARs), 24-hour forecasts (TAFs), pilot reports on turbulence and icing (PIREPs), or major hazard warnings like SIGMETs/AIRMETs.
It gives you the complete picture—from what's happening now to what might hit the route later.
What your AI agents can do
Get aviation station
Gets basic weather station metadata using an ICAO code like KJFK or EGLL.
Get metar
Retrieves the current, real-time airport weather report for any global location by its ICAO code.
Get pirep
Filters and retrieves pilot reports about in-flight conditions like turbulence or icing based on age hours.
You pass in one or more ICAO codes and immediately get the real-time METAR report for those airports.
Specify an ICAO code to retrieve a TAF, which predicts weather changes like wind shifts and visibility over the next day.
Retrieve PIREPs based on time filters. This lets you check what pilots are reporting about icing or turbulence right now.
Run the SIGMET tool to pull lists of major weather hazards—like widespread convection or mountain obscuration—affecting large flight paths.
Use an ICAO code to fetch specific information about a known airport weather monitoring station.
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Supported MCP Clients
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NOAA Aviation — Airport Weather Intelligence: 5 Tools
Gather critical aviation safety metrics. Use these tools to retrieve current airport conditions, forecast changes, and significant hazard alerts worldwide.
019d75deget aviation station
Gets basic weather station metadata using an ICAO code like KJFK or EGLL.
019d75deget metar
Retrieves the current, real-time airport weather report for any global location by its ICAO code.
019d75deget pirep
Filters and retrieves pilot reports about in-flight conditions like turbulence or icing based on age hours.
019d75deget sigmet
Fetches significant weather hazard alerts (SIGMETs/AIRMETs) that cover large areas, not just single airports.
019d75deget taf
Gets a 24-to-30 hour forecast of expected weather changes for an airport using its ICAO code.
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What you can do with this MCP connector
Look, when you're dealing with global aviation weather, you can't just trust one source. You need a whole picture of what’s happening right now, and what might hit your route three hundred miles out. This server gives your agent the full rundown on flight safety data using ICAO codes.
To check current airport conditions, you pass in an ICAO code—say, KJFK or EGLL—and you immediately get a real-time METAR report. That's what you need for immediate status: the exact temperature, wind speed and direction, visibility measurements, and atmospheric pressure at that spot right this second. It tells you exactly what those planes are dealing with as they land and take off.
If you’re planning a leg later in the day, don't rely on today's weather. You need to know what's coming. Using the get_taf tool lets you pull a 24-to-30 hour forecast for that airport. This isn't just a guess; it predicts expected changes—like when the wind shifts, or if visibility is set to drop significantly over the next day.
It gives you time to plan around anticipated weather patterns.
When you need to track real-world hazards, you look at pilot reports. The get_pirep tool filters and pulls in what actual pilots are seeing while they're airborne. You can filter these reports by age hours so you know if the data is recent. These PIREPs tell you about conditions like icing or severe turbulence that aren't visible on a radar map but are happening out there, up high.
Sometimes, the danger isn't at an airport; it’s along your whole flight path. To identify major hazard areas covering vast swaths of sky, run get_sigmet. This fetches significant weather alerts—like widespread convection or mountain obscuration—that affect large flight paths instead of just a single runway. You also get AIRMETs, which cover those important, but maybe less severe, area warnings.
And if you start with an ICAO code and need to verify the source itself, use get_aviation_station. This fetches basic metadata about the specific weather monitoring station for that airport, confirming the details of where your data is actually coming from. You've got current reports, future predictions, in-flight observations, area alerts, and even confirmation on the station itself.
It’s everything you need to keep the pilots safe.
How NOAA Aviation Weather MCP Works
- 1 You tell your AI agent which airports you need and what kind of data (e.g., 'Give me the current METAR for KJFK and the forecast TAF for EGLL').
- 2 Your agent calls the specific tools (
get_metar,get_taf) using the ICAO codes you provided. - 3 The server returns structured data, allowing your application to display all necessary weather metrics in a single, actionable report.
The bottom line is: Instead of running five different API calls for five different types of data, you ask one question and get everything you need for flight safety.
Who Is NOAA Aviation Weather MCP For?
Dispatchers and maintenance engineers who work with strict operational timelines. If your job involves planning any route where weather is a factor—from ground ops to airborne flights—you need this. It solves the problem of manually cross-referencing multiple government feeds for current safety data.
Runs concurrent checks using get_metar and get_taf across multiple ICAO codes to build a safe, compliant flight plan.
Checks for weather-related service limitations by running get_sigmet against the planned maintenance area before authorizing ground work.
Aggregates data from get_pirep and get_sigmet to spot trends in recurring hazards across a region, improving protocol documentation.
What Changes When You Connect
- Real-Time Picture: You get immediate, actionable current airport conditions by running
get_metarfor multiple ICAO codes. This replaces the need to manually check several separate weather feeds just to confirm wind speed or visibility at a destination. - Planning Ahead: Instead of guessing if the route will be safe tomorrow, use
get_taf. It provides forecasts on wind shifts and cloud changes, letting you plan around expected adverse conditions weeks in advance. - Hazard Awareness: The most important thing is knowing what's happening outside an airport. Use
get_sigmetto pull large-scale hazard alerts that cover your entire flight path, not just the departure or arrival gate. - Pilot Ground Truth: Don't rely only on official forecasts. Run
get_pirep. This tool surfaces actual pilot observations—the ground truth—on current turbulence and icing conditions in the air. - Streamlined Safety Checks: You can pass multiple ICAO codes to your agent, which then coordinates calls across
get_metar,get_taf, andget_sigmetto build a single, comprehensive safety summary without you lifting a finger.
Real-World Use Cases
Pre-Flight Route Check for Icing
A pilot needs to fly from Chicago (KORD) to Miami (KMIA). They ask their agent to check get_sigmet first. The agent finds an active icing warning area that overlaps the flight path, forcing the pilot to reroute before even checking the current METARs.
Checking Airport Stability After Storm
A ground crew supervisor needs to know if a smaller regional airport (e.g., KXYZ) is safe for landings after a storm. They use get_metar and also run get_pirep to see what other pilots reported about the runway conditions, giving them a better picture than official data alone.
Comparing Current vs. Forecasted Weather
A dispatcher is planning a week-long tour and needs to compare today's METAR at EGLL with next Tuesday’s TAF. The agent runs both tools sequentially, identifying potential wind increases that require crew rest stops.
Investigating Repeated Turbulence Reports
A safety analyst notices a pattern of turbulence reports near an industrial zone. They use get_pirep and filter it by age to see if the reports are recent or old, helping pinpoint when the hazard was most active.
The Tradeoffs
Treating this like a general forecast tool
Asking the agent for 'the best time to fly' or generalized local weather info. This server is built for critical, structured aviation data (METAR/TAF).
→
Be specific: You need current airport conditions? Use get_metar. Need a forecast? Use get_taf. Always use ICAO codes.
Forgetting hazard warnings entirely
Only checking the METAR at the destination. This misses large-scale dangers that might affect the entire route, even if the final airport is clear.
→
Always cross-reference with get_sigmet. These alerts tell you about widespread hazards—convection, etc.—that are bigger than any single airport.
Overloading the request
Asking for a full historical weather archive using one tool. The tools are designed for current/forecasted reports, not deep data mining.
→ Focus on time-bound inputs. If you need past info, check documentation or ask specifically for older PIREPs (using the age filter).
When It Fits, When It Doesn't
Use this server if your job relies on safety-critical weather intelligence using global aviation standards. You must have access to ICAO codes (like KJFK). This is mandatory for flight planning, air traffic control support, and maintenance operations where conditions directly impact legality or physical safety.
Don't use it if you just need general local forecast data (e.g., 'Will it rain tomorrow in my backyard?'). For those, a simple consumer weather API works fine. Also, don't rely on this for immediate emergency services; these tools are designed for structured aviation intelligence and require proper context.
Always remember that get_metar is your baseline check (what’s happening now), while get_taf handles the prediction, and get_sigmet/get_pirep handle the hazards. If you only use one tool, you're missing half the picture.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by NOAA. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 5 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Checking weather used to mean jumping between three different sites.
Before this MCP server, checking a flight path meant logging into NOAA’s site for METAR data, then opening another tab for TAF forecasts. If you needed hazard warnings, you had to visit the SIGMET page separately—and if you wanted pilot reports, that was yet another link and search filter.
Now, your agent handles it all. You ask one question: 'What are the weather conditions at KJFK tomorrow?' The system runs `get_taf` against `get_metar`, pulls in any relevant hazard alerts via `get_sigmet`, and gives you a consolidated answer without you touching five different tabs.
The NOAA Aviation Weather Intelligence MCP Server gets the full picture.
You don't just get current weather; you get layers of intelligence. The system combines the structural data from `get_metar` with the predictive power of `get_taf`, and crucially, it overlays real-world observations via `get_pirep`. This combination moves you past simple reporting into actual risk assessment.
It's not enough to know the airport is clear. You need to know if the *air* between airports is safe. That’s what this server provides—the full technical stack needed for true operational safety analysis.
Common Questions About NOAA Aviation Weather MCP
How do I get current weather at an airport using get_metar? +
You pass the location's three-letter ICAO code (e.g., KJFK). The get_metar tool returns a formatted report detailing temperature, wind speed/direction, and visibility for that specific moment.
Do I need to use get_taf if the weather is good right now? +
Yes. Even if get_metar shows clear skies, you must check get_taf because it predicts future changes—like a wind shift or cloud buildup—that might happen in the next 24 hours.
What is the difference between get_sigmet and getting METAR? +
METAR shows conditions at one specific airport. SIGMETs warn about large, significant hazard areas that affect entire flight paths, regardless of what's happening at any single runway.
Can I check pilot reports with get_pirep? +
Absolutely. Use get_pirep to pull specific pilot observations regarding turbulence or icing in the air. You can even filter these by how old the report is (in hours).
If I pass an unknown location to get_aviation_station, what error should my agent expect? +
The system returns a clear API error indicating an invalid code. Your AI client must check the response payload for this specific failure type. This prevents your agent from trying to request weather data with bad inputs.
How do I retrieve past weather records using get_metar? +
You must include parameters specifying a time window in the tool call. The API allows you to pull historical METAR reports for that location, rather than just current conditions. Make sure your prompt specifies the desired date and hour range.
Does get_taf account for significant hazards listed by get_sigmet? +
No. TAF provides a predicted set of standard weather conditions, while SIGMETs define known areas of immediate danger. You must execute both tools to build a complete risk assessment for flight planning.
Is it necessary to run get_aviation_station before getting a forecast with get_taf? +
It isn't strictly required, but checking the station info first is good practice. It confirms the ICAO code is active and properly configured for weather reporting. This validates your input before running any forecasts.
Does aviation weather work worldwide? +
METARs and TAFs work at any airport worldwide using ICAO codes. PIREPs and SIGMETs are primarily from the US Aviation Weather Center but cover international areas too.
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