AerisWeather MCP. Get global weather data and alerts via natural conversation.
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AerisWeather. Get professional-grade, hyper-local weather data, forecasts, and alerts directly from your AI agent. Query real-time METAR/PWS observations, 15-day forecasts, and historical conditions for any global location.
It also fetches place data (timezones, population) and allows batch processing of multiple endpoints in one request.
What your AI agents can do
Get alerts
Retrieves active weather warnings, watches, and advisories for a given location.
Get batch
Runs multiple weather queries (like observations, forecasts, or alerts) in a single, optimized request.
Get conditions
Gets interpolated global weather data, including current, forecast, and historical conditions with minute-by-minute precipitation.
The agent pulls real-time observations and historical data for a specific location using get_observations.
The agent fetches forecasts up to 15 days out using get_forecasts, including details on precipitation.
The agent monitors official sources to check for active weather watches, warnings, and advisories via get_alerts.
The agent pulls geographical data like timezones, population, and coordinates for any named city or airport using get_places.
The agent runs multiple weather queries (e.g., observations and alerts) in a single request using get_batch.
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Supported MCP Clients
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AerisWeather MCP Server: 6 Tools for Weather Data Retrieval
Use these tools to pull current conditions, historical trends, 15-day forecasts, and official weather alerts for any location.
019e5cf7get alerts
Retrieves active weather warnings, watches, and advisories for a given location.
019e5cf7get batch
Runs multiple weather queries (like observations, forecasts, or alerts) in a single, optimized request.
019e5cf7get conditions
Gets interpolated global weather data, including current, forecast, and historical conditions with minute-by-minute precipitation.
019e5cf7get forecasts
Fetches standard weather predictions (forecasts) for a specified location and date range.
019e5cf7get observations
Pulls the most current, real-time weather measurements for a specific place or ID.
019e5cf7get places
Retrieves fundamental geographical data, including timezones and population, for cities or airports.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
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 AerisWeather, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ 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
What you can do with this MCP connector
Need professional-grade, hyper-local weather data? Hook up your AI agent to this server and get forecasts, alerts, and conditions for any spot on the planet. You just ask what you need; your agent handles the complexity.
Check Current Conditions
Use get_observations to pull the most current, real-time weather measurements for any specific location or airport. You can also run get_conditions to get interpolated global data, tracking current, forecast, and historical conditions down to minute-by-minute precipitation.
Predict Weather Trends
Need to know what's coming? get_forecasts pulls standard weather predictions up to 15 days out for any location. It includes detailed info on precipitation so you know what to expect.
Track Official Warnings
Your agent monitors official sources for active weather watches, warnings, and advisories using get_alerts. It keeps you straight on any mandatory alerts for a given area.
Map Location Details
Before you check the weather, you might need to know the place itself. get_places pulls fundamental geographical data for any city or airport, giving you things like timezones, population counts, and coordinates.
Process Multiple Data Types
Don't make your agent run through five separate calls. Use get_batch to run multiple weather queries—like observations, forecasts, or alerts—all in one optimized request. This keeps your agent fast and efficient.
How AerisWeather MCP Works
- 1 First, you connect your AI client to the AerisWeather server and provide your Client ID and Secret.
- 2 Next, you prompt your agent with a question—for example, 'What's the weather in Miami and are there any alerts?'
- 3 The agent recognizes the intent, calls the necessary tools (
get_observationsandget_alerts), and returns a unified, readable answer to you.
The bottom line is: you talk to your agent, and the agent handles the complex data retrieval from the server.
Who Is AerisWeather MCP For?
Logistics managers who plan routes or manage fleets. Operations engineers who need to know if a site is safe to visit. Data analysts who build reports based on historical weather trends. If your job depends on knowing where and when something will fail because of the weather, you need this.
Checks get_alerts and get_forecasts for ports or transit hubs before scheduling shipments.
Uses get_observations and get_places to verify current site conditions and required local coordinates.
Runs complex queries combining get_conditions and get_observations to model long-term environmental impact.
What Changes When You Connect
- Stop guessing about site safety.
get_alertschecks official NWS and MeteoAlarm sources for active warnings, so you know if a location is immediately dangerous. - Skip the multi-tab dashboard view.
get_batchlets your agent query observations, forecasts, and alerts all at once, keeping the conversation fast and focused. - See historical patterns.
get_conditionsgives you interpolated data for past or future periods, letting you model long-term trends for research or compliance. - Plan across months.
get_forecastsprovides up to 15 days of weather predictions, letting you build schedules and logistics plans that account for seasonal changes. - Get location context immediately.
get_placespulls necessary details like timezones and coordinates when you just give the city name, making the query foolproof. - Check real-time status.
get_observationspulls the latest METAR/PWS data, giving you the exact current conditions at an airport or site.
Real-World Use Cases
Checking a Remote Site for Shipment Readiness
A logistics manager needs to know if a remote factory is operational. They ask their agent, 'What's the status at the facility in Duluth?' The agent runs get_observations for real-time data, then checks get_alerts for any active severe weather warnings. If both are clear, the manager approves the shipment.
Modeling Environmental Impact Over Years
An environmental scientist needs to compare annual pollution data against historical weather. They prompt the agent to run get_conditions for the last decade, pulling minute-by-minute precipitation and temperature data to build a full dataset for analysis.
Planning a Cross-Country Event Schedule
An event planner is coordinating travel across multiple time zones. They use get_places first to confirm the timezones and coordinates for all stops. Then, they use get_forecasts to ensure the main event day won't hit a predicted storm.
Validating Data for a Complex Report
A data analyst needs a report showing current, forecasted, and historical data points for a region. Instead of running three separate calls, they ask the agent to use get_batch to run get_observations, get_forecasts, and get_conditions simultaneously for maximum efficiency.
The Tradeoffs
Asking for one piece of data at a time
Asking 'What is the weather now?' then 'What is the forecast?' then 'Are there any alerts?' This requires three separate prompts and three API calls, slowing down the whole process.
→
Use get_batch to run observations, forecasts, and alerts in one go. Just tell your agent, 'Give me the full weather picture for Miami.' The agent handles the rest.
Forgetting to check the location details
Giving the city name 'London' without specifying a time zone or airport code. The agent might pull data for the wrong geographical area, leading to unusable results.
→
Always run get_places first. This confirms the correct coordinates and timezones for the location before asking for any weather data.
Treating weather data as simple point data
Only calling get_observations and assuming it covers the whole region. This misses critical long-term trends or regional warnings.
→
Combine get_observations with get_conditions and get_alerts. Use get_conditions for historical context and get_alerts for immediate risk assessment.
When It Fits, When It Doesn't
Use this server if your workflow requires knowing what the weather is doing—right now, in the past, or in the future. It's built for complex, multi-faceted data needs, like logistics, field operations, or research.
Don't use this if you just need a simple, static lookup (e.g., 'What is the population of London?'). For that, get_places is enough. If you need data for a specific date range, use get_conditions over get_observations, because the latter only gives you the immediate moment. If you need to check multiple endpoints quickly, stick to get_batch.
If your goal is to understand risk, always run get_alerts first. It tells you if the data you pull from any other tool is even relevant.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AerisWeather. 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 6 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Sifting through multiple weather dashboards is a massive time sink.
Right now, coordinating a major event means logging into a separate weather site for current conditions, then switching to a forecast tab for the next week, and finally opening a separate tab to check official government warning pages. You're copying coordinates, switching tabs, and waiting for three different pages to load.
With AerisWeather, you ask your agent for the full picture. It handles the current conditions (`get_observations`), the 15-day forecast (`get_forecasts`), and the active warnings (`get_alerts`) in one go. You get the complete, actionable summary without leaving the chat.
AerisWeather MCP Server: Access complete weather intelligence.
The server combines five distinct data sources—real-time observations, historical conditions, 15-day forecasts, place data, and official alerts—into a single, cohesive API layer. You don't manage the connections or the data transformation.
You just talk to your agent. It takes your intent, runs the necessary tools, and spits out the answer. It's that simple.
Common Questions About AerisWeather MCP
How do I use the get_batch tool for weather data? +
You use get_batch when you need to query multiple data types in one request. Instead of asking three separate questions, you ask the agent to 'get observations, forecasts, and alerts for Boston.' The agent packages this into a single, efficient call.
Is get_observations the same as get_conditions? +
No. get_observations gives you the exact, real-time weather measured right now. get_conditions gives you interpolated, global data that can span years or months, useful for trend analysis.
Can I check for severe weather using get_alerts? +
Yes. get_alerts checks official sources like NWS and MeteoAlarm for active warnings, watches, and advisories. This is the tool to use when safety is the primary concern.
How do I get geographical data with get_places? +
You use get_places when you need context for a location, like its timezone, population, or coordinates. This is necessary before you can get accurate weather data for an airport or city.
What is the best way to use get_batch for complex data requests? +
Use get_batch by listing the endpoints you need, separated by commas. For example, to get both observations and forecasts, pass /observations,/forecasts. This method significantly reduces the number of API calls your agent makes, optimizing performance.
How do I handle historical weather data using get_conditions? +
get_conditions handles historical data by allowing you to specify a date range. Just pass the required date parameters to the tool call. This lets your agent analyze weather patterns over time, not just what's happening now.
What happens if I need weather data for multiple locations with get_places? +
get_places accepts multiple location inputs. You can list out several city names or airport codes in a single request. This lets your agent gather geographical context for a whole region, not just one spot.
Do I need to use get_observations to check for immediate, real-time weather? +
get_observations provides the most immediate, current snapshot of conditions. This tool pulls real-time METAR/PWS data, which is different from the interpolated forecasts provided by other tools.
Can I get minute-by-minute precipitation forecasts? +
Yes! Use the get_conditions tool with the filter parameter set to minutelyprecip. This provides high-resolution precipitation data for the immediate future.
How do I check for active weather warnings in a specific area? +
Use the get_alerts tool and provide the location in the p parameter. It will return active watches, warnings, and advisories from official meteorological agencies.
Is it possible to search for cities or airports by name? +
Yes! Use the get_places tool with the action set to search and your query. It returns geographical metadata, timezones, and coordinates.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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