Compatible with every major AI agent and IDE
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 Cline?
Cline operates autonomously inside VS Code. it reads your codebase, plans a strategy, and executes multi-step tasks including NWS (National Weather Service) tool calls without waiting for prompts between steps. Connect 9 tools through Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.
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Cline operates autonomously. it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts
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Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window
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Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation
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Transparent execution: every tool call and file change is shown in Cline's activity log for full visibility and approval before committing
NWS (National Weather Service) in Cline
NWS (National Weather Service) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect NWS (National Weather Service) to Cline 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 Cline
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 Cline 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 Cline
Every tool call from Cline 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 Cline connect to MCP servers?
Cline reads MCP server configurations from its settings panel in VS Code. Add the server URL and Cline discovers all available tools on initialization.
Can Cline run MCP tools without approval?
By default, Cline asks for confirmation before executing tool calls. You can configure auto-approval rules for trusted servers in the settings.
Does Cline support multiple MCP servers at once?
Yes. Configure as many servers as needed. Cline can use tools from different servers within the same autonomous task execution.
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