How to Use the Library of Congress MCP in Vercel AI SDK

Q: How do I search the Library of Congress using the Vercel AI SDK?

You initialize the client with createMCPClient and pass the tools into your generateText call. Your agent then uses the search tool to query the database and return results directly to your code.

Q: Can I pull high-res images from the Library of Congress with the Vercel AI SDK?

Yes, you use the getimageinfo tool to fetch technical metadata. This gives you the IIIF data required to display high-quality versions of maps or photos in your application.

Q: Does this Library of Congress MCP Server work with the Vercel AI SDK for large datasets?

It handles large collections by chaining calls like listcollections and getcollectionitems. You can stream these results to your UI to keep the researcher informed during long operations.

Stream historical records directly into your React or Next.js UI using this Library of Congress MCP Server with the Vercel AI SDK.

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Connect Library of Congress MCP to Vercel AI SDK

Create your Vinkius account to connect Library of Congress 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 Library of Congress with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Real-time archival data retrieval

Feed historical metadata directly into your web components. By calling `search` or `search_format`, you push raw archival data into your stream, letting users see results as they arrive. Your interface updates instantly without waiting for a backend process to finish. This creates a responsive flow where the user sees the Library of Congress data appear line by line.

High-resolution asset visualization

Pipe image metadata from `get_image_info` straight into your frontend state. This gives your app the technical IIIF details needed to render historical scans without heavy lifting. Your agent handles the heavy lifting of parsing the response. You simply map the output to your image gallery or viewer components.

Full-text document inspection

Extract raw text and coordinates using `get_text_service` for your document readers. Your AI client processes these snippets to highlight specific lines or paragraphs within historical manuscripts. This turns your app into a research workstation. You get the exact OCR coordinates needed to display text overlays on top of the original scans.

Setup guide

Set up Library of Congress 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 Library of Congress 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 Library of Congress 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 Library of Congress. 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 Library of Congress MCP in Vercel AI SDK

You initialize the client with `createMCPClient` and pass the tools into your `generateText` call. Your agent then uses the `search` tool to query the database and return results directly to your code.

Yes, you use the `get_image_info` tool to fetch technical metadata. This gives you the IIIF data required to display high-quality versions of maps or photos in your application.

It handles large collections by chaining calls like `list_collections` and `get_collection_items`. You can stream these results to your UI to keep the researcher informed during long operations.

The server manages your connection through a single endpoint token provided by Vinkius. Your credentials never touch the client-side code directly.

The server operates in a sandboxed V8 environment. It only accesses the public records you explicitly request through the provided tools, ensuring no local data is leaked during the process.

Use it with your favorite AI tools

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

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