Transloadit MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Cancel Assembly, Create Assembly, Create Template, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Transloadit 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 App Connector for Vercel AI SDK
The Transloadit app connector for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Transloadit, 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 Transloadit MCP Server
The Transloadit MCP server allows your AI agent to orchestrate complex file processing pipelines. Trigger encodings, convert documents, resize images, and monitor assembly statuses right from your conversation.
The Vercel AI SDK gives every Transloadit 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.
The Transloadit MCP Server exposes 12 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.
All 12 Transloadit tools available for Vercel AI SDK
When Vercel AI SDK connects to Transloadit through Vinkius, your AI agent gets direct access to every tool listed below — spanning file-processing, media-encoding, file-upload, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Stop a currently running assembly
Start a new file processing assembly
Create a new processing template
Permanently remove a template
Retrieve status and results for a specific assembly
Retrieve billing information for a specific month
Check API connectivity and get account context
Retrieve details for a specific template
List all file processing assemblies
List all reusable processing templates
Re-run a completed assembly
Update an existing template
Connect Transloadit to Vercel AI SDK via MCP
Follow these steps to wire Transloadit into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Transloadit MCP Server
Vercel AI SDK provides unique advantages when paired with Transloadit 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 Transloadit integration everywhere
Built-in streaming UI primitives let you display Transloadit 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
Transloadit + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Transloadit MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Transloadit in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Transloadit tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Transloadit capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Transloadit through natural language queries
Example Prompts for Transloadit in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Transloadit immediately.
"List all available Transloadit templates."
"Check the status of Assembly ID 88392."
"Cancel the processing for Assembly ID 99120."
Troubleshooting Transloadit MCP Server with Vercel AI SDK
Common issues when connecting Transloadit to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTransloadit + Vercel AI SDK FAQ
Common questions about integrating Transloadit 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.