How to Use the FEMA MCP in Vercel AI SDK

Q: Can Vercel AI SDK stream FEMA application numbers?

Yes. Your agent calls getdisasterapplications or getindividualsprogram, and the SDK streams the resulting statistics directly into your UI components in real-time.

Q: What is the fastest way to get local emergency contacts?

Have your agent query getemergencyagencies with the state name. It returns the list of local coordinators instantly, which you can render in a clean UI list.

Pipe real-time FEMA disaster data directly into your React components using Vercel AI SDK.

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Connect FEMA MCP to Vercel AI SDK

Create your Vinkius account to connect FEMA 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.

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Setup FEMA with Vercel AI SDK

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Real-time disaster tracking in your UI

Your users need to see what is happening on the ground without waiting for a loading spinner. This MCP Server lets your agent pull active declarations using `list_disaster_declarations` and feed them straight to your Vercel AI SDK stream. The UI updates instantly as the data comes in. You do not need to build complex polling mechanisms. The agent handles the API calls to `get_disaster_applications` behind the scenes, and the SDK streams the raw numbers directly to the frontend. It makes live emergency dashboards actually live.

On-the-fly housing assistance metrics

When a disaster strikes, housing data changes by the minute. By combining this MCP Server with your frontend, you can query `get_housing_assistance` and display aid distribution metrics as they update. The agent parses the raw JSON and sends it over the wire. You can also pull individual registration numbers using `get_registration_intake`. This keeps your emergency coordinators informed during critical windows without requiring them to refresh a clunky legacy portal.

Direct hazard grant mapping with Vercel AI SDK

Mapping out mitigation projects requires heavy data scraping. Your agent can call `get_hazard_mitigation_grants` to pull funding details and project locations instantly. With the Vercel AI SDK, those project details render in your UI components while the LLM is still generating the summary text. It saves precious seconds when local teams are trying to assess funding gaps.

Setup guide

Set up FEMA MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with 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 FEMA tools. Pass them directly to generateText() or streamText() — 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.

index.ts

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 FEMA transactions",
});

console.log(text);
await mcpClient.close();

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FEMA. 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 FEMA MCP in Vercel AI SDK

Install @ai-sdk/mcp and create a client pointing to the Vinkius endpoint URL. Call the tools method and pass those tools directly into your text generation functions.

Yes. Your agent calls `get_disaster_applications` or `get_individuals_program`, and the SDK streams the resulting statistics directly into your UI components in real-time.

It runs perfectly. Because Vinkius hosts the server, your edge functions just make lightweight HTTP requests to query endpoints like `get_emergency_agencies` without heavy dependencies.

Have your agent query `get_emergency_agencies` with the state name. It returns the list of local coordinators instantly, which you can render in a clean UI list.

Absolutely. This server only reads public OpenFEMA records, including public assistance data via `get_public_assistance_applicants`. No private citizen registration files or personally identifiable information are ever exposed or stored.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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