3,400+ MCP servers ready to use
Vinkius

Photoroom MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 8 tools to Add Ai Background, Add Realistic Shadow, Advanced Image Edit, and more

Built by Vinkius GDPR 8 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Photoroom app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 8 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

main();
Photoroom
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 Photoroom MCP Server

Connect your Photoroom account to any AI agent and take full control of your visual content production through natural conversation. Photoroom provides a world-class suite of computer vision tools, and this integration allows you to remove backgrounds with pixel-perfect accuracy, generate new AI-driven scenes, and upscale images directly from your chat interface.

The Vercel AI SDK gives every Photoroom 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

  • Precision Background Removal — Isolate subjects and remove backgrounds autonomously from any image URL programmatically.
  • AI Scene Generation — Create high-fidelity backgrounds using custom text prompts to transform product photography into studio-quality assets.
  • Image Detail Enhancement — Upscale low-resolution images and remove unwanted text or watermarks directly from the AI interface to ensure professional quality.
  • Advanced Editing Control — Add realistic shadows (soft, hard, or floating) and expand image boundaries using AI uncropping via natural language.
  • Operational Monitoring — Track system responses and manage image metadata to ensure your creative workflows are always optimized.

The Photoroom MCP Server exposes 8 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.

All 8 Photoroom tools available for Vercel AI SDK

When Vercel AI SDK connects to Photoroom through Vinkius, your AI agent gets direct access to every tool listed below — spanning background-removal, computer-vision, image-editing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

add_ai_background

Replace background with AI-generated scene

add_realistic_shadow

Add an AI shadow to the subject

advanced_image_edit

Apply multiple AI edits in one request

expand_and_uncrop

Expand image boundaries with AI

get_api_usage

Check API credit usage

remove_image_background

Remove the background from an image

remove_text_from_image

Remove text overlays from an image

upscale_image

Increase image resolution with AI

Connect Photoroom to Vercel AI SDK via MCP

Follow these steps to wire Photoroom into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the 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 Photoroom and passes them to the LLM

Why Use Vercel AI SDK with the Photoroom MCP Server

Vercel AI SDK provides unique advantages when paired with Photoroom 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 Photoroom integration everywhere

03

Built-in streaming UI primitives let you display Photoroom 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

Photoroom + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Photoroom in Vercel AI SDK

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

01

"Remove the background from the product image at https://cdn.shopify.com/s/files/1/0533/2089/files/nike-air-max.jpg and add a soft realistic shadow."

02

"Upscale this low-resolution campaign banner (https://images.unsplash.com/photo-1542291026-7eec264c27ff) and remove the promotional text overlay."

03

"Take this coffee mug photo (https://cdn.ikea.com/us/en/images/products/fargklar-mug.jpg), remove the white background, and generate a highly realistic luxury wooden table background."

Troubleshooting Photoroom MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Photoroom + Vercel AI SDK FAQ

Common questions about integrating Photoroom 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.