How to Use the GovInfo MCP in Vercel AI SDK

Q: How do I query GovInfo using Vercel AI SDK?

You initialize the client with createMCPClient and pass the tools to your streamText function. This allows the model to invoke searchdocuments automatically during the request lifecycle.

Stream official US government data directly into your Vercel AI SDK frontends for real-time document discovery.

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Connect GovInfo MCP to Vercel AI SDK

Create your Vinkius account to connect GovInfo 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 GovInfo with Vercel AI SDK

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Direct access to GovInfo data in Vercel AI SDK

Feed your UI live government records without the usual latency. By mapping `search_documents` and `get_published` to your stream, your application handles official filings as they arrive. Your users see the data render in real-time as the stream progresses. You avoid the wait times associated with traditional batch processing by keeping the connection open.

Drill into package metadata with your AI client

Use `get_package_summary` to pull specific details for any government publication. You define how the information appears to the end user by parsing the returned JSON objects directly in your components. This approach lets you display granular data without unnecessary overhead. Your application stays lightweight while providing deep access to the source material.

Navigate collections with this MCP Server

Call `list_collections` to show available document sets within your Vercel AI SDK interface. Your users can browse legislative, regulatory, and judicial archives through a custom-built selection menu. Once a collection is chosen, you can use `get_collection` to fetch specific packages. You build the navigation logic that makes the most sense for your specific use case.

Setup guide

Set up GovInfo 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 GovInfo 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 GovInfo 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 GovInfo. 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 GovInfo MCP in Vercel AI SDK

You initialize the client with `createMCPClient` and pass the tools to your `streamText` function. This allows the model to invoke `search_documents` automatically during the request lifecycle.

Yes, because the tools stream results over HTTP. You can pipe the output from `get_published` directly into your frontend state to update the UI as data arrives.

The server provides metadata and summaries through tools like `get_granule_summary`. You can use these to present the user with the most important parts of a document immediately.

The server handles authentication on the backend. You only need to provide the endpoint token, keeping your primary credentials away from the client-side code.

It accesses public government records only. No user-specific data is ever transmitted or stored, ensuring your application remains compliant with standard privacy practices.

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