2,500+ MCP servers ready to use
Vinkius

Getty Images MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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 Getty Images, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Getty Images
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Getty Images MCP Server

Connect your Getty Images account to any AI agent and take full control of your stock media research and asset procurement through natural conversation.

The Vercel AI SDK gives every Getty Images tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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

  • Stock Media Orchestration — Search over 500M editorial and creative images to retrieve asset IDs, titles, and preview URLs natively within your chat
  • Creative Discovery — Identify bounded creative images pre-filtered for commercial, advertising, and marketing use flawlessly
  • Editorial Auditing — Search across news, sports, entertainment, and archival photography to track specific historical events and global trends synchronousy
  • Video Library Management — Browse stock video libraries and retrieve duration, aspect ratio, and available resolution metadata securely
  • Visual Similarity Search — Find visually similar assets by providing source IDs to discover related compositions and aesthetic patterns natively
  • Lightbox Collection Oversight — List and manage your Lightbox collections to organize selected assets across different projects limitlessly
  • Asset Procurement — Execute direct download mutations to consume corporate quota limits and retrieve high-resolution download URLs securely

The Getty Images MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Getty Images to Vercel AI SDK via MCP

Follow these steps to integrate the Getty Images MCP Server with Vercel AI SDK.

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 10 tools from Getty Images and passes them to the LLM

Why Use Vercel AI SDK with the Getty Images MCP Server

Vercel AI SDK provides unique advantages when paired with Getty Images 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 Getty Images integration everywhere

03

Built-in streaming UI primitives let you display Getty Images 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

Getty Images + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Getty Images MCP Server delivers measurable value.

01

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

02

API backends: create serverless endpoints that orchestrate Getty Images tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Getty Images capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Getty Images through natural language queries

Getty Images MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Getty Images to Vercel AI SDK via MCP:

01

download_image

Returns download URL and consumes corporate quota limits. Pass asset ID. Download a Getty image

02

get_image

Get full details of a Getty image

03

get_images_batch

Get details for multiple Getty images at once

04

get_similar

Find visually similar Getty images

05

get_video

Get full details of a Getty video

06

list_collections

List your Getty lightbox collections

07

search_creative

Search Getty creative (commercial-use) images only

08

search_editorial

Not for commercial use. Search Getty editorial images

09

search_images

Returns asset IDs, titles, captions, preview URLs. Pass phrase and page. Search Getty Images stock photos

10

search_videos

Search Getty stock videos

Example Prompts for Getty Images in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Getty Images immediately.

01

"Search for creative images of 'modern sustainable architecture'"

02

"Find visually similar images to asset '12345678'"

03

"List my Getty lightboxes"

Troubleshooting Getty Images MCP Server with Vercel AI SDK

Common issues when connecting Getty Images to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Getty Images + Vercel AI SDK FAQ

Common questions about integrating Getty Images 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.

Connect Getty Images to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.