FAA Aviation Data MCP for AI. Know the air space before you take off.
Works with every AI agent you already use
…and any MCP-compatible client








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The FAA MCP pulls real-time flight safety and weather data directly from the Federal Aviation Administration. Check temporary flight restrictions, locate approved drone zones using LAANC maps, and get current or forecasted weather reports (METAR/TAF) for any airport.
It also searches specific Notice to Air Missions (NOTAMs), giving you a complete picture of operational hazards before you even leave the ground.
What your AI can do
Get metar
Pulls the latest Meteorological Aerodrome Reports (METAR) for a specific airport code.
Get taf
Retrieves Terminal Aerodrome Forecasts (TAF), predicting expected weather at an airport.
List tfrs
Lists all active Temporary Flight Restrictions (TFRs) for a given state or area.
Retrieve the latest Meteorological Aerodrome Reports (METAR) detailing immediate wind speeds, visibility, and cloud cover.
Get Terminal Aerodrome Forecasts (TAF), which predict expected weather changes for a specific airport over the next 24 to 30 hours.
List all existing Temporary Flight Restrictions (TFRs) across specified geographic areas, ensuring compliance before departure.
Access UAS Facility Maps (LAANC) to pinpoint coordinates where flying drones is permitted.
Search for Notice to Air Missions (NOTAMs) by location, number, or date to check for runway closures, maintenance, or other alerts.
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FAA Aviation Data: 5 Tools
Use these five tools to pull every piece of critical data needed for safe aviation planning, from current weather observations to temporary airspace closures.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using FAA (Federal Aviation Administration) on VinkiusGet Metar
Pulls the latest Meteorological Aerodrome Reports (METAR) for a specific airport code.
Get Taf
Retrieves Terminal Aerodrome Forecasts (TAF), predicting expected weather at an...
List Tfrs
Lists all active Temporary Flight Restrictions (TFRs) for a given state or area.
List Uas Facilities
Gets the authorized UAS Facility Maps (LAANC), showing permitted drone flight areas.
Search Notams
Searches for specific Notice to Air Missions (NOTAMs) by location, date, or notice...
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Choose How to Get Started
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Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with FAA (Federal Aviation Administration), then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FAA. 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 connection provides 5 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Dealing with aviation data used to be a nightmare of tabs and PDFs.
Right now, planning a flight means juggling multiple windows: pulling up the airport weather page for current observations; opening a separate FAA site just for Temporary Flight Restrictions; then finding a third resource to check drone maps. You end up copying coordinates from one tab and pasting them into another to figure out if it’s safe.
With this MCP, that whole process collapses into a single query. Your agent handles the cross-referencing of everything—from current weather reports (get_metar) to active TFR lists. You get an immediate, synthesized answer about what you can actually do.
You now have real-time access to FAA data.
The manual steps that disappear are the constant logins and API key management. You never have to worry about remembering which tool checks current weather versus which one handles future forecasts (get_taf).
What's different now is simple: you get a single, coherent operational picture. It’s reliable data on demand.
What your AI can actually do with this
Need to plan an air route? You can't just look at a single checklist item anymore; safety depends on merging multiple data streams, and that’s what this MCP does. Your agent connects directly to FAA services, letting you query aviation weather and regulatory information using natural language. For instance, you can check for active Temporary Flight Restrictions by state or type, then immediately search for Notices to Air Missions (NOTAMs) related to a specific runway closure.
Need drone permission? Accessing UAS Facility Maps lets your agent identify permitted flight areas based on coordinates. The system also pulls current weather observations and forecasts, so you always know the conditions. If you're running complex safety checks across multiple data types—weather, airspace regulations, facility status—Vinkius makes this MCP available for easy connection to any compatible client.
019e3893-5289-713b-a097-db68d3ae4a31 Here's how it actually works
The bottom line is that your agent handles all the complex API calling; you just ask for what you need to know about the airspace.
Subscribe to the MCP and enter your FAA API Key into Vinkius.
Direct your AI client to run a query specifying what information you need (e.g., 'What are the TFRs near Miami?').
The system runs the necessary tool calls and returns synthesized data, giving you actionable insights on flight safety.
Who is this actually for?
Pilots, drone operators, and aviation dispatchers use this MCP when they can't rely on fragmented information or outdated manuals. If your job requires combining real-time weather data with current regulatory notices, you need this.
Before flight planning, checking NOTAMs and pairing those results with a TAF forecast to confirm the operational window.
Mapping out flight paths by cross-referencing LAANC facility maps against local Temporary Flight Restrictions (TFRs) before launching any drone.
Running multi-airport checks, gathering both current METAR observations and future TAF predictions for a fleet of aircraft simultaneously.
What Changes When You Connect
Don't waste time checking five different websites. You can run a single query to gather NOTAMs, TFRs, and UAS facility maps all at once.
Get immediate weather status updates. Using get_metar gives you the current conditions—wind speed, visibility, everything—in one shot.
Plan ahead with confidence. The get_taf tool forecasts what to expect next week, helping you adjust your mission profile before it's too late.
Ensure compliance automatically. Checking list_tfrs verifies if an area is temporarily restricted, stopping potential non-compliant flights cold.
Simplify drone planning. list_uas_facilities lets you identify safe flight corridors without manual map cross-referencing.
See it in action
Pre-flight route validation
A dispatcher asks the agent: 'What's the status for JFK?' The agent runs search_notams to check for runway closures, then calls get_metar and get_taf. It tells the user if the current weather is fine, what the forecast is, and flags any critical operational notices.
Drone site selection
A field team lead needs to fly a drone near a park. The agent checks list_uas_facilities for allowed zones, then calls list_tfrs to ensure no temporary airspace restrictions are active in that area.
Rapid hazard assessment
A pilot receives an urgent query: 'Are there any hazards near my destination?' The agent immediately runs search_notams and compares the results with get_metar to give a quick, comprehensive safety report.
The honest tradeoffs
Checking weather in isolation
A user only checks the current METAR data and assumes they are clear for takeoff. They miss that a TFR is active or a NOTAM warns of maintenance.
Always cross-reference the get_metar result with list_tfrs and search_notams. The agent needs to check all three simultaneously before confirming safety.
Using static maps
A drone operator relies on a printed map for flight zones, only to find out later that the area is now restricted.
Always use list_uas_facilities and then follow up with list_tfrs. This ensures your route aligns with both permitted infrastructure and current airspace rules.
Ignoring forecast data
A dispatcher approves a flight based on today's good weather, forgetting that the TAF predicts high winds starting at night.
Don't just check get_metar. Always pair it with get_taf to see how conditions are projected to change throughout the operational day.
When It Fits, When It Doesn't
Use this MCP if your job requires combining multiple, time-sensitive data points—like weather observations AND airspace restrictions—into a single actionable report. It's perfect for pre-flight planning and field operations where safety depends on cross-referencing inputs (e.g., using get_metar alongside search_notams). Don't use this if you just need to know the general weather outlook; then, a simple forecast tool is enough. Also, don't use it if you are only checking historical data; for that, you’ll need an index or knowledge base type of MCP instead.
Questions you might have
How can I check for Temporary Flight Restrictions (TFRs) in a specific state? +
You can use the list_tfrs tool and provide the two-letter state code (e.g., 'CA' for California). The agent will return a list of all active restrictions and their types.
Can I get both current weather and forecasts for an airport? +
Yes. Use get_metar for real-time reports and get_taf for terminal forecasts by providing the ICAO station code (e.g., 'KJFK').
Does this tool help with drone flight planning? +
Absolutely. The list_uas_facilities tool provides geographic data for UAS facility maps (LAANC), showing where drone operations are permitted based on your coordinates.
How do I set up my account to use the `search_notams` tool? +
You must provide your FAA API Key during subscription. Vinkius handles secure credential storage, allowing your agent to query aviation services immediately without manual key handling.
Do the weather reports from `get_metar` and `get_taf` handle time zones correctly? +
Yes, all resulting data includes precise UTC timestamps. This ensures that regardless of your local location, the reported conditions are accurate for the specific moment in time.
Can I filter my NOTAM searches using advanced criteria with `search_notams`? +
Yes. You can refine results by operational type or date range. This lets you quickly narrow down complex aviation hazard data beyond simple location checks.
What structured format does the MCP deliver when calling `list_uas_facilities`? +
The tool returns clean, structured JSON data. This makes parsing easy for your AI client and provides coordinates, operational zones, and facility status needed for accurate mapping.
Are there rate limits if I frequently call both `get_metar` and `get_taf`? +
API usage is governed by FAA rate limits. Vinkius manages caching to optimize calls, but heavy querying over short periods may require implementing a backoff strategy in your agent.
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