CloudConvert 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 CloudConvert 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 CloudConvert, 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 CloudConvert MCP Server
Connect your CloudConvert account to any AI agent and take full control of your file conversion and processing through natural conversation. Streamline how you transform over 200 formats including PDF, DOCX, and more.
The Vercel AI SDK gives every CloudConvert 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
- Job Oversight — Create and retrieve details for complex file processing jobs with multiple tasks natively
- Conversion Intelligence — Access status and results for specific tasks flawlessly to handle async workflows
- Multi-format Logistics — Automate conversions between hundreds of different file formats securely
- Account Visibility — Retrieve information about your authenticated user profile and remaining credits flawlessly
- Operation Auditing — List available AI-powered operations like optimization and website capture securely
- Webhook Logistics — Monitor configured webhooks for real-time job completion notifications directly within your workspace flawlessly
The CloudConvert 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 CloudConvert to Vercel AI SDK via MCP
Follow these steps to integrate the CloudConvert 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 CloudConvert and passes them to the LLM
Why Use Vercel AI SDK with the CloudConvert MCP Server
Vercel AI SDK provides unique advantages when paired with CloudConvert 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 CloudConvert integration everywhere
Built-in streaming UI primitives let you display CloudConvert 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
CloudConvert + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the CloudConvert MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query CloudConvert in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate CloudConvert tools and return structured JSON responses to any frontend
Chatbots with tool use: embed CloudConvert capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with CloudConvert through natural language queries
CloudConvert MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect CloudConvert to Vercel AI SDK via MCP:
create_conversion_job
Supports over 200 formats. Create a new file conversion or processing job
get_conversion_job_details
Get the status and result of a specific job
get_conversion_task_details
Get detailed information for a specific task
get_my_cloudconvert_profile
Retrieve information about the authenticated user and credits
list_available_conversion_ops
List common operations supported by the CloudConvert API
list_cloudconvert_webhooks
List configured webhooks for job completion notifications
list_conversion_jobs
List all recent conversion jobs
list_conversion_tasks
List all individual tasks across jobs
Example Prompts for CloudConvert in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with CloudConvert immediately.
"List my last 5 conversion jobs in CloudConvert."
"What is the status of conversion task 'task_12345'?"
"How many credits do I have left in CloudConvert?"
Troubleshooting CloudConvert MCP Server with Vercel AI SDK
Common issues when connecting CloudConvert to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCloudConvert + Vercel AI SDK FAQ
Common questions about integrating CloudConvert 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 CloudConvert 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 CloudConvert to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.