Smithsonian Open Access MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 3 tools to Get Content, Search Category, Search Records

Name: Smithsonian Open Access
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Smithsonian Open Access MCP Server for Vercel AI SDK is a standout in the Knowledge Management category — giving your AI agent 3 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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 Smithsonian Open Access, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

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About Smithsonian Open Access MCP Server

Connect to the Smithsonian Open Access repository and bring millions of museum records, scientific data, and historical artifacts directly into your AI workspace. This server provides programmatic access to the Smithsonian's Enterprise Digital Asset Network (EDAN).

The Vercel AI SDK gives every Smithsonian Open Access tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 3 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 — Query millions of records across all Smithsonian units using the search_records tool to find images, specimens, and artifacts.
Detailed Metadata — Use get_content to retrieve comprehensive descriptions, provenance, and digital asset links for specific museum objects.
Categorized Discovery — Narrow your research to specific fields like art, history, or science using the search_category tool for more precise results.
Research & Education — Instantly pull primary source data for academic research, educational content, or creative projects.

The Smithsonian Open Access MCP Server exposes 3 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 3 Smithsonian Open Access tools available for Vercel AI SDK

When Vercel AI SDK connects to Smithsonian Open Access through Vinkius, your AI agent gets direct access to every tool listed below — spanning museum-records, digital-assets, historical-data, 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 content on Smithsonian Open Access

Retrieve a specific museum record by its unique identifier

Search category on Smithsonian Open Access

Search within specific categories or units

Search records on Smithsonian Open Access

Search for museum records across all Smithsonian units

Connect Smithsonian Open Access to Vercel AI SDK via MCP

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

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the script

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

Explore tools

The SDK discovers 3 tools from Smithsonian Open Access and passes them to the LLM

Why Use Vercel AI SDK with the Smithsonian Open Access MCP Server

Vercel AI SDK provides unique advantages when paired with Smithsonian Open Access through the Model Context Protocol.

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

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Smithsonian Open Access integration everywhere

Built-in streaming UI primitives let you display Smithsonian Open Access tool results progressively in React, Svelte, or Vue components

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

Smithsonian Open Access + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Smithsonian Open Access MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query Smithsonian Open Access in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate Smithsonian Open Access tools and return structured JSON responses to any frontend

Chatbots with tool use: embed Smithsonian Open Access capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with Smithsonian Open Access through natural language queries

Example Prompts for Smithsonian Open Access in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Smithsonian Open Access immediately.

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

"Get the full details for the record with ID edanmdm:nmah_1313964."

"Search for 'impressionism' within the art category."

Troubleshooting Smithsonian Open Access MCP Server with Vercel AI SDK

Common issues when connecting Smithsonian Open Access to Vercel AI SDK through Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Smithsonian Open Access + Vercel AI SDK FAQ

Common questions about integrating Smithsonian Open Access MCP Server with Vercel AI SDK.

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.

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.

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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