How to Use the NOAA Observations — US Current Conditions MCP in Vercel AI SDK
Stream live US weather from NOAA directly into your UI with the Vercel AI SDK. No more loading spinners.
Works with every AI agent you already use
…and any MCP-compatible client
Connect NOAA Observations — US Current Conditions MCP to Vercel AI SDK
Create your Vinkius account to connect NOAA Observations — US Current Conditions to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Get Live Conditions in Your UI
The `get_latest_observation` tool streams temperature, wind, and pressure right into your React components. Your users see the data appear character-by-character, not after a frustrating delay. First, use `get_stations` to find the closest weather station to a user's location. Then, you pipe that station ID into `get_latest_observation` for hyper-local, real-time conditions. It's all handled on the edge, so it's fast.
Build Live Weather Trend Charts
Pull recent records for any US station with `get_observation_history`. This lets you build charts in Svelte or Vue that show temperature changes or wind shifts over the last few hours, streaming the updates live. This isn't just a single data point. The tool gives your agent a time-series to work with. That's perfect for building simple predictive displays or just showing users how the day's weather has unfolded.
Map the Official Weather Network
This MCP Server gives your agent tools to find official NWS sites. The `get_radar_stations` tool returns a list of all WSR-88D locations in the US, so you know where the real radar data comes from. Combine this with `get_station_metadata` to map out both observation points and radar coverage. Your UI can show a complete picture of the official weather monitoring network your app is using.
Set up NOAA Observations — US Current Conditions MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all NOAA Observations — US Current Conditions tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 4
Works with any model provider
Swap
openai("gpt-4o")for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
const transport = new StreamableHTTPClientTransport(
new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);
const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "List recent NOAA Observations — US Current Conditions transactions",
});
console.log(text);
await mcpClient.close(); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by NOAA. 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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Common questions about NOAA Observations — US Current Conditions MCP in Vercel AI SDK
Use it with your favorite AI tools
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