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National Archives Catalog MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 40 tools to Create Comment, Create Tag, Create Transcription, and more

MCP Inspector GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect National Archives Catalog 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 National Archives Catalog MCP Server for Vercel AI SDK is a standout in the Knowledge Management category — giving your AI agent 40 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 National Archives Catalog, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
National Archives Catalog
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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 National Archives Catalog MCP Server

Connect to the National Archives Catalog (NARA) and explore the history of the United States through natural conversation. This MCP server allows your AI agent to act as a specialized research assistant, retrieving historical data, metadata, and digital objects from one of the world's largest archival collections.

The Vercel AI SDK gives every National Archives Catalog tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 40 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

  • Deep Search — Query records by text, tags, comments, or transcriptions to find specific historical context and documents.
  • Record Hierarchy — Navigate complex archival structures by retrieving immediate children of specific parent records (NaId).
  • User Contributions — Manage and search through tags, comments, and transcriptions provided by the citizen archivist community.
  • Metadata Retrieval — Get detailed information, status metrics, and descriptions for specific National Archives Identifiers.
  • Tagging & Interaction — Create or delete tags and comments to organize research findings directly within the catalog ecosystem.

The National Archives Catalog MCP Server exposes 40 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 40 National Archives Catalog tools available for Vercel AI SDK

When Vercel AI SDK connects to National Archives Catalog through Vinkius, your AI agent gets direct access to every tool listed below — spanning historical-records, nara, archives, 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.

create

Create comment on National Archives Catalog

Add a new comment to a record

create

Create tag on National Archives Catalog

Add a new tag to a record

create

Create transcription on National Archives Catalog

Add a new transcription

delete

Delete comment on National Archives Catalog

Remove or deactivate a comment

delete

Delete contributions on National Archives Catalog

Deactivate or remove multiple contributions

delete

Delete tag on National Archives Catalog

Remove or deactivate a tag

fetch

Fetch coords on National Archives Catalog

Utility to fetch JSON data from S3 based on a provided URL

get

Get announcements on National Archives Catalog

Retrieve a list of all announcements

get

Get comment on National Archives Catalog

Retrieve a single comment by ID

get

Get comments by naid on National Archives Catalog

Retrieve comments for a specific record

get

Get comments by userid on National Archives Catalog

Retrieve comments by a specific contributor

get

Get contributions by target naid on National Archives Catalog

Retrieve contributions for a specific record ID

get

Get contributions by userid on National Archives Catalog

Retrieve contributions by user ID

get

Get justifications on National Archives Catalog

Retrieve a list of justifications for administrative actions

get

Get latest announcements on National Archives Catalog

Retrieve active announcements

get

Get record children on National Archives Catalog

Retrieve immediate children of a specified parent ID

get

Get record stats on National Archives Catalog

Retrieve statistics on user contributions

get

Get tag on National Archives Catalog

Retrieve a single tag by ID

get

Get tags by naid on National Archives Catalog

Retrieve tags for a specific record

get

Get tags by userid on National Archives Catalog

Retrieve tags by a specific contributor

get

Get transcription on National Archives Catalog

Retrieve a single transcription by ID

get

Get transcription history on National Archives Catalog

Retrieve transcription history

get

Get transcriptions by naid on National Archives Catalog

Retrieve transcriptions for a specific record

get

Get transcriptions by userid on National Archives Catalog

Retrieve transcriptions by a specific contributor

get

Get user on National Archives Catalog

Retrieve public data for a specific user

get

Get user notifications on National Archives Catalog

Retrieve user notifications

get

Get users on National Archives Catalog

Retrieve public account data (filterable by email, username, role, etc.)

search

Search comments on National Archives Catalog

Search for comment data

search

Search contributions on National Archives Catalog

Search for contribution data

search

Search records on National Archives Catalog

Search for records using URL parameters

search

Search records by comment on National Archives Catalog

Search records by comments

search

Search records by contribution on National Archives Catalog

Search records related to user contributions

search

Search records by tag on National Archives Catalog

Search records by tags

search

Search records by text on National Archives Catalog

Search records by other extracted text

search

Search records by transcription on National Archives Catalog

Search records by transcriptions

search

Search tags on National Archives Catalog

Search for tag data

search

Search transcriptions on National Archives Catalog

Search for transcription data

update

Update comment on National Archives Catalog

Update an existing comment

update

Update transcription on National Archives Catalog

Add or update a transcription

update

Update user on National Archives Catalog

Update user information

Connect National Archives Catalog to Vercel AI SDK via MCP

Follow these steps to wire National Archives Catalog 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 40 tools from National Archives Catalog and passes them to the LLM

Why Use Vercel AI SDK with the National Archives Catalog MCP Server

Vercel AI SDK provides unique advantages when paired with National Archives Catalog 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 National Archives Catalog integration everywhere

03

Built-in streaming UI primitives let you display National Archives Catalog 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

National Archives Catalog + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the National Archives Catalog MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query National Archives Catalog in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate National Archives Catalog tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed National Archives Catalog capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with National Archives Catalog through natural language queries

Example Prompts for National Archives Catalog in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with National Archives Catalog immediately.

01

"Search for records related to the 'Apollo 11 mission'."

02

"Get the immediate children of parent record 573036."

03

"Find all tags associated with record NaId 123456."

Troubleshooting National Archives Catalog MCP Server with Vercel AI SDK

Common issues when connecting National Archives Catalog to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

National Archives Catalog + Vercel AI SDK FAQ

Common questions about integrating National Archives Catalog 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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