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Library of Congress MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 8 tools to Get Collection Items, Get Image Info, Get Item, and more

MCP Inspector GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Library of Congress through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this MCP Server for Vercel AI SDK

The Library of Congress MCP Server for Vercel AI SDK is a standout in the Knowledge Management category — giving your AI agent 8 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Library of Congress, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Library of Congress
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Library of Congress MCP Server

Connect your AI agent to the Library of Congress (LOC) and explore the vast digital archives of the United States' oldest federal cultural institution. Access millions of records, from historical newspapers to rare maps and sound recordings.

The Vercel AI SDK gives every Library of Congress tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Global Search — Search across the entire LOC catalog including items, legislation, and blogs using the search tool.
  • Digital Collections — Browse and list all available digital collections or drill down into specific ones like the 'Abraham Lincoln Papers' using list_collections and get_collection_items.
  • Format-Specific Discovery — Filter your research by specific media types such as maps, audio, or photos with search_format.
  • Deep Bibliographic Research — Retrieve detailed metadata and digital resource links for specific items using get_item.
  • OCR & Text Analysis — Access full-text OCR, word coordinates, and context snippets for digitized documents via get_text_service.
  • Technical Image Metadata — Fetch IIIF technical data for high-resolution images using get_image_info.

The Library of Congress MCP Server exposes 8 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 8 Library of Congress tools available for Vercel AI SDK

When Vercel AI SDK connects to Library of Congress through Vinkius, your AI agent gets direct access to every tool listed below — spanning digital-archives, historical-data, catalog-search, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get collection items on Library of Congress

List items within a specific collection

get

Get image info on Library of Congress

json for a specific image identifier. Get technical metadata about an image (IIIF)

get

Get item on Library of Congress

Get detailed bibliographic data for a single item

get

Get resource on Library of Congress

g., a specific page of a newspaper) using resource_id. Get access to discrete digitized files

get

Get text service on Library of Congress

Access full-text OCR, word coordinates, and context snippets

list

List collections on Library of Congress

List all digital collections

action

Search on Library of Congress

using a keyword query. Search the entire Library of Congress website

search

Search format on Library of Congress

g., maps, photos, audio). Search items of a specific format

Connect Library of Congress to Vercel AI SDK via MCP

Follow these steps to wire Library of Congress into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 8 tools from Library of Congress and passes them to the LLM

Why Use Vercel AI SDK with the Library of Congress MCP Server

Vercel AI SDK provides unique advantages when paired with Library of Congress through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Library of Congress integration everywhere

03

Built-in streaming UI primitives let you display Library of Congress tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Library of Congress + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Library of Congress MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Library of Congress in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Library of Congress tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Library of Congress capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Library of Congress through natural language queries

Example Prompts for Library of Congress in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Library of Congress immediately.

01

"Search the Library of Congress for Civil War maps of Virginia."

02

"List all items in the 'world-war-i-posters' collection."

03

"Get the full text for the document segment 'service/gdc/gdcscd/00/01/02/03/0001.txt'."

Troubleshooting Library of Congress MCP Server with Vercel AI SDK

Common issues when connecting Library of Congress to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Library of Congress + Vercel AI SDK FAQ

Common questions about integrating Library of Congress MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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