Bring Photo Enhancement
to Vercel AI SDK
Learn how to connect Viesus to Vercel AI SDK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Viesus MCP Server?
Connect your Viesus account to any AI agent and simplify your professional image processing and enhancement workflows through natural conversation.
What you can do
- AI Enhancement — Apply powerful upscaling, face restoration, and automatic color correction to your photos.
- Job Monitoring — Upload images and track the real-time status of your enhancement requests (queued, processing, completed).
- Content Retrieval — Fetch direct download links for your processed images and retrieve technical metadata like resolution and color space.
- Account Management — Monitor your credit balance and view the history of all processing jobs.
- Preset Library — List and select from predefined enhancement configurations optimized for different photo types.
How it works
1. Subscribe to this server
2. Enter your Viesus Cloud API Access Token
3. Start enhancing your visual content from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Professional Photographers — quickly upscale low-res images and apply color correction via simple AI commands.
- Content Creators — automate the retouching of social media assets and verify processing history.
- E-commerce Teams — ensure product photos meet technical standards by retrieving metadata and applying consistent presets.
Built-in capabilities (12)
Verify Viesus API status
Apply AI enhancement to an image
Check remaining API credits
Retrieve API version details
Retrieve the final image download link
Check the status of an enhancement job
Retrieve technical metadata for an image
List active webhooks
List available enhancement configurations
List recent image processing jobs
List supported image formats
Upload an image for processing
Why Vercel AI SDK?
The Vercel AI SDK gives every Viesus tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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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 Viesus integration everywhere
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Built-in streaming UI primitives let you display Viesus 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
Viesus in Vercel AI SDK
Viesus and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Viesus 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 | 3,400+ 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 Viesus in Vercel AI SDK
The Viesus 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 12 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
Viesus for Vercel AI SDK
Every tool call from Vercel AI SDK to the Viesus MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I check how many credits I have left in Viesus?
Yes! Use the get_account_credit_balance tool. Your agent will retrieve the current number of processing credits available in your account.
How do I download the enhanced version of my image?
Once the job status is 'completed', use the get_enhanced_image_url tool with your Job ID to get the direct download link for the final photo.
What are the supported file formats for enhancement?
You can run the list_supported_file_formats query to see a complete and up-to-date list of all input and output formats supported by the Viesus API.
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