cloudlayer.io MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect cloudlayer.io 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
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 cloudlayer.io, 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 cloudlayer.io MCP Server
Connect your cloudlayer.io account to any AI agent and take full control of your document and image generation through natural conversation. Streamline how you create pixel-perfect PDFs and website screenshots natively.
The Vercel AI SDK gives every cloudlayer.io tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- PDF Generation — Convert public URLs or raw HTML strings into high-quality PDF documents natively
- Screenshot Intelligence — Capture high-resolution screenshots of any web page in PNG, JPG, or WebP formats flawlessly
- Template Management — List and retrieve details for Nunjucks templates configured in your account flawlessly
- Generation History — Access a history of recent document and image generation tasks to track activity flawlessly
- Usage Auditing — Retrieve current usage statistics and quota information directly within your workspace securely
- Webhook Logistics — Monitor all configured webhooks for real-time generation notifications flawlessly
The cloudlayer.io MCP Server exposes 8 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 cloudlayer.io to Vercel AI SDK via MCP
Follow these steps to integrate the cloudlayer.io 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 8 tools from cloudlayer.io and passes them to the LLM
Why Use Vercel AI SDK with the cloudlayer.io MCP Server
Vercel AI SDK provides unique advantages when paired with cloudlayer.io 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 cloudlayer.io integration everywhere
Built-in streaming UI primitives let you display cloudlayer.io 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
cloudlayer.io + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the cloudlayer.io MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query cloudlayer.io in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate cloudlayer.io tools and return structured JSON responses to any frontend
Chatbots with tool use: embed cloudlayer.io capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with cloudlayer.io through natural language queries
cloudlayer.io MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect cloudlayer.io to Vercel AI SDK via MCP:
capture_url_screenshot
Capture a high-quality screenshot (image) of a public URL
convert_html_to_pdf
Convert raw HTML string into a PDF document
convert_url_to_pdf
Convert a public URL into a high-quality PDF document
get_cloudlayer_usage_stats
Retrieve current usage and quota information
get_template_configuration
Get details for a specific generation template
list_cloudlayer_webhooks
List all configured webhooks for async notifications
list_generation_history
List recent document and image generation history
list_pdf_templates
List all Nunjucks templates configured in the account
Example Prompts for cloudlayer.io in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with cloudlayer.io immediately.
"Convert https://example.com to a PDF."
"Take a screenshot of https://news.google.com."
"Show me my generation history."
Troubleshooting cloudlayer.io MCP Server with Vercel AI SDK
Common issues when connecting cloudlayer.io to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpcloudlayer.io + Vercel AI SDK FAQ
Common questions about integrating cloudlayer.io 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 cloudlayer.io 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 cloudlayer.io to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.