How to Use the Data.gov Catalog MCP in Vercel AI SDK

Q: Is it possible to filter Data.gov Catalog results by location in Vercel AI SDK?

Absolutely. You can use the searchlocations tool to autocomplete names before passing them to the geometry or dataset search functions.

Stream US government datasets directly into your React components with the Vercel AI SDK for live, real-time data rendering.

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Connect Data.gov Catalog MCP to Vercel AI SDK

Create your Vinkius account to connect Data.gov Catalog 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 Data.gov Catalog with Vercel AI SDK

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Search and filter government data in AI SDK

Stop guessing what data exists. Use `search_datasets` to query the official catalog and pass the results straight into your streaming UI. You can refine your search by keyword or location to ensure the data you render in your frontend is exactly what the user needs.

Visualize spatial data using Vercel AI SDK

Fetch GeoJSON boundaries with `get_location_geometry` to draw maps instantly. You don't have to process raw files manually anymore. Your UI will react to these coordinates immediately because the data flows through the SDK's streaming pipeline without extra latency.

Inspect dataset ingestion with AI SDK tools

Get the original source payload using `get_harvest_record_raw` when you need to audit how a specific dataset entered the system. Debugging becomes trivial when you can surface the `get_harvest_record_transformed` output right alongside your application logs.

Setup guide

Set up Data.gov Catalog 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 Data.gov Catalog 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 Data.gov Catalog 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 Data.gov. 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 Data.gov Catalog MCP in Vercel AI SDK

You initialize the client via the MCP transport and pass the available tools into your generateText call. This allows the model to trigger the search functions automatically based on user prompts.

Yes. Since the SDK supports streaming tool results, metadata returned from the server appears in your UI as the agent finds it.

Absolutely. You can use the `search_locations` tool to autocomplete names before passing them to the geometry or dataset search functions.

The server returns an error code that the SDK handles via standard promise rejection. You should wrap your tool calls in try-catch blocks to manage these interruptions.

This server only touches public government metadata and spatial coordinates. We use ephemeral, isolated environments so no persistent logs of your specific queries remain on our infrastructure.

Use it with your favorite AI tools

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