Bring Meteorological Data
to Mastra AI
Learn how to connect NWS (National Weather Service) to Mastra AI and start using 9 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the NWS (National Weather Service) MCP Server?
Connect to the National Weather Service (NWS) API to retrieve precise meteorological data for any US location. This server allows AI agents to fetch point-based grid information, detailed textual forecasts, hourly updates, and critical weather alerts.
What you can do
- Location Mapping — Convert coordinates into NWS grid points using
get_pointto unlock hyper-local data. - Forecasts — Get detailed textual and hourly forecasts for specific grid locations via
get_forecastandget_hourly_forecast. - Weather Alerts — Monitor active watches, warnings, and advisories nationwide or by specific state/area with
get_active_alertsandget_active_alerts_by_area. - Station Observations — Access real-time data from weather stations, including the latest atmospheric readings using
get_latest_station_observation.
How it works
- Subscribe to this server
- Provide a User-Agent string (required by NWS API policy)
- Start querying weather data in your AI agent
Who is this for?
- Developers & Data Scientists — integrate live weather context into applications or analysis workflows.
- Logistics & Operations — monitor active alerts and forecasts to optimize travel and outdoor activities.
- General Users — get precise, official government weather data through natural conversation.
Built-in capabilities (9)
Get all currently active weather alerts
g., TX, FL, AMZ). Get active alerts for a specific area
Get details for a specific weather alert
Get textual forecast for a specific grid location
Get hourly forecast for a specific grid location
Get the latest observation for a specific station
Get NWS office and grid information for a latitude/longitude
Get observations for a specific station
Get a list of all observation stations
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and NWS (National Weather Service) tool infrastructure. Connect 9 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
- —
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add NWS (National Weather Service) without touching business code
- —
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every NWS (National Weather Service) tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
NWS (National Weather Service) in Mastra AI
NWS (National Weather Service) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect NWS (National Weather Service) to Mastra AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for NWS (National Weather Service) in Mastra AI
The NWS (National Weather Service) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 9 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
NWS (National Weather Service) for Mastra AI
Every tool call from Mastra AI to the NWS (National Weather Service) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I get a forecast for a specific latitude and longitude?
First, use the get_point tool with your coordinates to find the office ID and grid coordinates (gridX, gridY). Then, pass those values into the get_forecast tool to receive the textual forecast.
Can I check for active weather warnings in a specific state?
Yes! Use the get_active_alerts_by_area tool and provide the two-letter state code (e.g., 'TX' for Texas or 'FL' for Florida) to see all current watches and warnings for that area.
How do I see the current temperature at a specific airport?
Use the get_latest_station_observation tool with the station's ICAO ID (e.g., 'KJFK' for New York JFK or 'KLAX' for Los Angeles International) to get the most recent atmospheric readings.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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