Bring Visual Feedback
to Vercel AI SDK
Learn how to connect WebVizio to Vercel AI SDK and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the WebVizio MCP Server?
Connect your WebVizio account to any AI agent and streamline your visual collaboration and website review processes through natural conversation.
What you can do
- Project Management — List all websites under monitoring and create new feedback projects by URL.
- Task Control — Create, list, and update feedback tasks (bugs, UI improvements) directly on specific projects.
- Visual Discussion — List and add comments to tasks to keep the review conversation organized.
- Integration Monitoring — List configured webhooks to ensure your event-driven workflows are active.
- Technical Insights — Retrieve detailed logs and metadata for individual tasks and project URLs.
How it works
1. Subscribe to this server
2. Enter your WebVizio API Token (found in your account profile or settings)
3. Start reviewing and managing your websites from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Web Designers & QA Teams — quickly log visual bugs and track UI improvement tasks via simple AI queries.
- Project Managers — monitor feedback progress across multiple website projects without leaving the workspace.
- Agencies & Clients — coordinate website reviews and discussion threads directly from the AI assistant.
Built-in capabilities (10)
Add a comment to a task
Create a new project
Create a new feedback task
Get project details
Get task details
List comments on a task
List all website feedback projects
List tasks in a project
List configured webhooks
Update a task status or details
Why Vercel AI SDK?
The Vercel AI SDK gives every WebVizio 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.
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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 WebVizio integration everywhere
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Built-in streaming UI primitives let you display WebVizio 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
WebVizio in Vercel AI SDK
WebVizio and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect WebVizio 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 WebVizio in Vercel AI SDK
The WebVizio 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 10 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
WebVizio for Vercel AI SDK
Every tool call from Vercel AI SDK to the WebVizio MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I create a new project using just a URL?
Yes! Use the create_webvizio_project tool and provide the website URL. Your agent will add it to your WebVizio dashboard for monitoring.
How do I see all the bugs reported for a specific site?
Run the list_webvizio_tasks query with your Project ID. It will return a complete list of all feedback tasks, including status and descriptions.
Is it possible to reply to feedback comments via AI?
Absolutely. Use the add_webvizio_comment tool by providing the Task ID and your text to post a new comment to the visual discussion thread.
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