Vectorizer AI MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 4 tools to Delete Image, Download Image, Get Account Status, and more
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Vectorizer AI 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 Vectorizer AI MCP Server for Vercel AI SDK is a standout in the Design Creative category — giving your AI agent 4 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { 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 Vectorizer AI, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Vectorizer AI MCP Server
Connect to Vectorizer AI to transform pixel-based images into clean, scalable vector graphics directly from your AI agent. This server leverages powerful AI algorithms to trace bitmaps and produce professional-grade SVG, EPS, PDF, and DXF files.
The Vercel AI SDK gives every Vectorizer AI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 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
- Vectorization — Convert JPG, PNG, or BMP files into vectors with precise control over colors, shapes, and stacking.
- Format Conversion — Export to multiple industry-standard formats including SVG, EPS, PDF, and DXF.
- Advanced Processing — Fine-tune results with custom palettes, minimum shape areas, and specific draw styles.
- Account Management — Check your API credit balance and manage stored images.
The Vectorizer AI MCP Server exposes 4 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 4 Vectorizer AI tools available for Vercel AI SDK
When Vercel AI SDK connects to Vectorizer AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning vectorization, svg-converter, image-processing, 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.
Delete image on Vectorizer AI
AI servers using its image token. Manually delete an image stored via policy.retention_days > 0
Download image on Vectorizer AI
Download a production result or additional formats
Get account status on Vectorizer AI
Fetch subscription status and remaining credits
Vectorize image on Vectorizer AI
Vectorize a bitmap image to SVG/EPS/PDF/DXF
Connect Vectorizer AI to Vercel AI SDK via MCP
Follow these steps to wire Vectorizer AI into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Vectorizer AI MCP Server
Vercel AI SDK provides unique advantages when paired with Vectorizer AI 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 Vectorizer AI integration everywhere
Built-in streaming UI primitives let you display Vectorizer AI 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
Vectorizer AI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Vectorizer AI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Vectorizer AI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Vectorizer AI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Vectorizer AI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Vectorizer AI through natural language queries
Example Prompts for Vectorizer AI in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Vectorizer AI immediately.
"Vectorize this logo from https://example.com/logo.png into an SVG."
"I have an image token 'v_12345'. Can you download it as a DXF file for CNC?"
"Check my Vectorizer AI account balance."
Troubleshooting Vectorizer AI MCP Server with Vercel AI SDK
Common issues when connecting Vectorizer AI to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpVectorizer AI + Vercel AI SDK FAQ
Common questions about integrating Vectorizer AI MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
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?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Explore More MCP Servers
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