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

Q: How do I search for recent climate data from Data.gov using the Vercel AI SDK?

Your agent just needs to call the searchdatasets tool. Set the query to "climate" and the sort parameter to "metadatamodified desc". The AI SDK will stream the matching datasets right into your UI.

Q: Can I filter Data.gov search results by file type with the Vercel AI SDK?

Yes. First, use listresourceformats to see all available formats like CSV, JSON, or XML. Then, include the desired format in your searchdatasets call to narrow down the results for your user.

Q: How can I find all health-related datasets from a specific agency on Data.gov with the Vercel AI SDK?

It's a two-step process for your agent. First, use getorganizationdatasets with the organization's ID and a query for "health". If you don't know the ID, use listorganizations to find it first. The MCP architecture makes these multi-step queries simple to code.

Pull live US government data straight into your UI. This Data.gov MCP server and the Vercel AI SDK make it happen without loading spinners.

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Connect Data.gov MCP to Vercel AI SDK

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

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Build Live Data Dashboards

Hook your AI client into the Data.gov catalog. Your users can ask for datasets and watch the results stream directly into your app's UI. Use `search_datasets` with a text query and see titles and descriptions populate your components in real-time. Go deeper by fetching full dataset details. Once a user finds something interesting, your agent can call `get_dataset` to pull its complete metadata, including resource lists and download links. It's a simple way to build a powerful data exploration tool, and this MCP connection makes it fast.

Let Users Explore Data Topics

Let your users browse the entire Data.gov structure, topic by topic. The `list_groups` tool gives you all the major categories like "health" or "finance". Your agent can feed these into a dynamic menu for your users to click. When a user picks a category, your agent uses `get_group_datasets` to instantly stream in a list of relevant datasets. It feels fast because the Vercel AI SDK renders results as they arrive, not all at once.

Verify Data Sources with this MCP Server

Build trust by showing your users exactly where the data comes from. When displaying a dataset, have your agent call `get_organization` using the organization ID from the dataset details. The organization's name, description, and contact info will stream right into a sidebar or modal. It’s a simple way to add credibility and context to the information you're presenting.

Setup guide

Set up Data.gov 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 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 transactions",
});

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

Get your connection token →

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.

Why Choose Vinkius

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Common questions about Data.gov MCP in Vercel AI SDK

Your agent just needs to call the `search_datasets` tool. Set the `query` to "climate" and the `sort` parameter to "metadata_modified desc". The AI SDK will stream the matching datasets right into your UI.

You get access to over 300,000 datasets from US federal agencies. This includes topics like public safety, agriculture, education, and finance. Use `list_groups` to see all available categories.

Yes. First, use `list_resource_formats` to see all available formats like CSV, JSON, or XML. Then, include the desired format in your `search_datasets` call to narrow down the results for your user.

It's a two-step process for your agent. First, use `get_organization_datasets` with the organization's ID and a query for "health". If you don't know the ID, use `list_organizations` to find it first. The MCP architecture makes these multi-step queries simple to code.

This server only processes public information from the Data.gov catalog, like dataset titles, descriptions, and download URLs. Your connection is secured through Vinkius's ephemeral, zero-trust infrastructure. Your API key is the only credential needed, and it's all handled by the platform.

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