Vinkius
AerisWeather

AerisWeather MCP for AI. Get immediate weather data for any place on Earth.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Works with every AI agent you already use

…and any MCP-compatible client

AerisWeather MCP on Cursor AI Code EditorAerisWeather MCP on Claude Desktop AppAerisWeather MCP on OpenAI Agents SDKAerisWeather MCP on Visual Studio CodeAerisWeather MCP on GitHub Copilot AI AgentAerisWeather MCP on Google Gemini AIAerisWeather MCP on Lovable AI DevelopmentAerisWeather MCP on Mistral AI AgentsAerisWeather MCP on Amazon AWS Bedrock

Connect to your AI in seconds.

AerisWeather lets your AI agent access professional, global weather intelligence. Query real-time observations, 15-day forecasts, and official warnings for any location worldwide.

You can check current conditions using `get_observations`, map out coordinates with `get_places`, or pull historical data to run reports—all through natural conversation.

What your AI can do

Get alerts

Retrieves official warnings and advisories for active weather dangers in a region.

Get batch

Allows you to query several data types, like observations and forecasts, in one efficient call.

Get conditions

Provides global current, forecast, or historical weather conditions, including precipitation details.

+ 3 more capabilities included
Retrieve current weather observations

Gets immediate, real-time conditions (METAR/PWS) for specific airports or cities.

Predict future weather patterns

Generates detailed forecasts spanning multiple days and can check minute-by-minute precipitation trends.

Monitor official warnings

Checks authoritative sources for active watches, advisories, and severe storm alerts in a given area.

Get location details

Pulls necessary geographical context like time zones, coordinates, or population size for any place name.

Process diverse data streams efficiently

Combines multiple weather requests (like forecasts and alerts) into a single API call to save cycles and speed up the process.

Included with Plan

Waiting for input…

AI Agent

AerisWeather with 6 Tools

Use these tools to retrieve everything from live conditions and historical data to geographical coordinates for any location on Earth.

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 AerisWeather on Vinkius

Get Alerts

Retrieves official warnings and advisories for active weather dangers in a region.

Get Batch

Allows you to query several data types, like observations and forecasts, in one...

Get Conditions

Provides global current, forecast, or historical weather conditions, including...

Get Forecasts

Generates general weather outlooks for specific locations over an extended period.

Get Observations

Pulls the absolute latest, real-time atmospheric data from measured sites...

Get Places

Gathers basic geographical facts about a location, such as its time zone or population count.

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Claude AI

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The AerisWeather integration is available immediately — no restart needed.

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
Start building

Make Your AI Do More

Start with AerisWeather, 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
AerisWeather MCP server cover

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.

VINKIUS INFRASTRUCTURE

Cloud Hosted

Managed infra

V8 Isolated

Sandboxed per request

Zero-Trust Proxy

No stored credentials

DLP Enforced

Policy on every call

GDPR Compliant

EU data residency

Token Compression

~60% cost reduction

Your data is protected. See how we built it.

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 6 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Manually checking weather data across multiple dashboards is a huge time sink.

Today, coordinating operations means jumping through hoops: you check one site for current conditions, another for 15-day forecasts, and a third dedicated portal just to see if there are active warnings. It's click-heavy; it takes minutes of copy-pasting data points into spreadsheets just to build a basic risk assessment.

With this MCP, you tell your agent the job—e.g., 'Assess the readiness for deployment in Tampa.' The system runs `get_observations`, checks for warnings with `get_alerts`, and generates the whole report for you. You get actionable intelligence without touching a browser.

Get precise, verifiable weather context using AerisWeather.

You no longer need to open multiple tabs or switch between specialized meteorological sites just to cross-reference data. The agent handles the calls; it pulls everything—from historical trends via `get_conditions` to immediate status updates with `get_observations`. It’s one unified stream of information.

The difference is speed and accuracy. You get a complete, verifiable picture of a location's environment in seconds, not an hour.

What your AI can actually do with this

Getting reliable weather context used to mean opening five different websites just to piece together a picture: one for the forecast, another for alerts, and yet another for geographical details. This MCP changes that. You connect it once via Vinkius, and your AI client handles all the legwork. It pulls real-time METAR data, generates multi-day forecasts, or checks if there are active flood warnings—all in one conversation.

It’s about getting precise context quickly. Instead of scrolling through dozens of charts, you ask for specific data points: 'What's the precipitation rate in Miami next week?' The agent uses this MCP to find that answer instantly, giving you actionable intelligence whether you're planning a logistics route or running an environmental model.

Built · Hosted · Managed by Vinkius AerisWeather MCP - Hyper-local Weather Data & Forecasts
Server ID 019e5cf7-d93b-7059-a04e-4c2c7ecd678e
Vinkius Inspector
Compliance Grade A
Score 93.75/100
Vinkius Inspector Badge — Score 93.75/100

Questions you might have

How do I check the current weather observations using get_observations? +

Use get_observations and provide a city or airport ID. This retrieves the most recent, measured METAR/PWS data available for that specific location.

What is the best way to query multiple weather types at once? Use get_batch? +

Yep, get_batch is your tool. Instead of calling get_forecasts, then get_alerts, you list both in a single request for maximum efficiency.

Does AerisWeather help me with historical data? +

Yes, the get_conditions tool supports pulling historical weather datasets, letting you run reports based on past conditions and precipitation records.

I need to know if there are active warnings. Which tool should I use? get_alerts? +

get_alerts is the one. It checks official sources for current watches, advisories, and any severe weather warnings that might affect your area.

How do I get geographical data or time zone info using `get_places`? +

The tool provides detailed place information for cities, stations, and airports. You can pull essential context like coordinates and time zones, which is crucial before running specific weather queries.

Does `get_conditions` support minute-by-minute precipitation forecasts? +

Yes, you can get interpolated data for minutely precipitation forecasts. The tool supports this via a filter parameter and covers ranges up to 15 days out.

What kind of information do I get when I use `get_forecasts`? +

You receive general weather predictions for specified locations. This output is useful for planning future events, unlike the real-time data provided by observations or alerts.

Is there a standard format required for location inputs across all tools? +

No, the input format varies depending on what you need. For instance, get_observations accepts IDs like 'city,state', while get_places can handle names or station codes.

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.

Built & Managed by Vinkius 30s setup 6 tools

We've already built the connector for AerisWeather. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 6 tools are live and waiting. You're up and running in seconds.

Vinkius runs on Claude Claude
Vinkius runs on ChatGPT ChatGPT
Vinkius runs on Cursor Cursor
Vinkius runs on Gemini Gemini
Vinkius runs on Windsurf Windsurf
Vinkius runs on VS Code VS Code
Vinkius runs on JetBrains JetBrains
Vinkius runs on Vercel Vercel
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