Bring Vectorization
to Vercel AI SDK
Learn how to connect Vectorizer AI to Vercel AI SDK and start using 4 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your Vectorizer AI API ID and API Secret
- Start vectorizing images from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Graphic Designers — Quickly convert client logos or sketches into editable vector formats.
- Engineers & Makers — Generate DXF files for CNC or laser cutting directly from reference images.
- Content Creators — Upscale low-resolution assets into infinitely scalable graphics.
Built-in capabilities (4)
AI servers using its image token. Manually delete an image stored via policy.retention_days > 0
Download a production result or additional formats
Fetch subscription status and remaining credits
Vectorize a bitmap image to SVG/EPS/PDF/DXF
Why Vercel AI SDK?
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.
- —
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Vectorizer AI integration everywhere
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Built-in streaming UI primitives let you display Vectorizer AI tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Vectorizer AI in Vercel AI SDK
Vectorizer AI and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Vectorizer AI to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Vectorizer AI in Vercel AI SDK
The Vectorizer AI 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. All 4 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Vectorizer AI for Vercel AI SDK
Every tool call from Vercel AI SDK to the Vectorizer AI MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I convert a PNG to SVG directly?
Yes, use the vectorize_image tool and set the output_file_format to 'svg'. The AI will process the bitmap and return a high-quality vector result.
How do I download a different format for an image I already processed?
Use the download_image tool with the image_token from your previous request. You can specify a new output_file_format like 'dxf' or 'pdf' without re-uploading the image.
How do I check my remaining API credits?
Run the get_account tool. It will return your current credit balance and account status directly from Vectorizer AI.
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.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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