ScreenshotOne MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ScreenshotOne through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 ScreenshotOne, 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 ScreenshotOne MCP Server
Empower your AI agent to orchestrate your entire visual auditing and website capturing workflow with ScreenshotOne, the reliable API for high-quality screenshots. By connecting ScreenshotOne to your agent, you transform complex capturing tasks into a natural conversation. Your agent can instantly take full-page screenshots, generate PDFs from URLs, and audit page metadata without you ever touching a browser. Whether you are monitoring site changes or archiving visual content, your agent acts as a real-time visual archiver, ensuring your records are always clear and comprehensive.
The Vercel AI SDK gives every ScreenshotOne tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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
- Visual Auditing — Take high-resolution screenshots of any URL and retrieve the direct image links instantly.
- Full-page Oversight — Capture entire website pages from top to bottom to maintain a complete view of site design and content.
- Document Intelligence — Generate professional PDFs from any website for easy sharing and offline auditing.
- Metadata Discovery — Retrieve website titles, descriptions, and page sizes without performing a full capture.
- Targeted Capturing — Take screenshots of specific CSS elements or custom viewports to focus on what matters most.
The ScreenshotOne MCP Server exposes 6 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.
How to Connect ScreenshotOne to Vercel AI SDK via MCP
Follow these steps to integrate the ScreenshotOne MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 6 tools from ScreenshotOne and passes them to the LLM
Why Use Vercel AI SDK with the ScreenshotOne MCP Server
Vercel AI SDK provides unique advantages when paired with ScreenshotOne 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 ScreenshotOne integration everywhere
Built-in streaming UI primitives let you display ScreenshotOne 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
ScreenshotOne + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ScreenshotOne MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ScreenshotOne in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ScreenshotOne tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ScreenshotOne capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ScreenshotOne through natural language queries
ScreenshotOne MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect ScreenshotOne to Vercel AI SDK via MCP:
generate_pdf
Generate a PDF from a URL
get_page_metadata
) without capturing. Get metadata for a website (title, size, etc.) without capturing
take_element_screenshot
Take a screenshot of a specific CSS element
take_full_page_screenshot
Take a full-page screenshot of a URL
take_screenshot
Take a screenshot of a URL
take_viewport_screenshot
Take a screenshot with a specific viewport size
Example Prompts for ScreenshotOne in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ScreenshotOne immediately.
"Take a screenshot of https://vinkius.com."
"Capture the full page of https://github.com/vinkius."
"Show metadata for https://www.google.com."
Troubleshooting ScreenshotOne MCP Server with Vercel AI SDK
Common issues when connecting ScreenshotOne to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpScreenshotOne + Vercel AI SDK FAQ
Common questions about integrating ScreenshotOne 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.Connect ScreenshotOne with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ScreenshotOne to Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.