Transloadit MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
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.
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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 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
Transform your AI agent into a full-scale media orchestration engine by connecting it to your Transloadit application. Eliminate complicated dashboards and rely entirely upon conversational instructions to launch, monitor, or abort heavy "Assemblies" (media jobs), track operational bills, and register scalable JSON templates without manual interactions.
The Vercel AI SDK gives every Transloadit 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.
What you can do
- Assembly Execution — Feed a JSON steps configuration directly into your agent to prompt complex file encodings, resizing jobs, or transmutations natively
- Live Monitoring — Interrogate the agent to retrieve exact results, completion statuses, or outputs parameters for any active or past processing task (Assembly)
- Template Management — Build reusable encoding architectures (Templates) through chat instructions, list available pipelines, or delete deprecated presets
- Error Recovery — Immediately command the AI to cancel heavily hung/unnecessary processing batches or instruct a strict "job replay" to re-attempt a failed cycle
- Resource Tracking — Access your precise billing usage and operational costs per specific month natively without hunting reports on the dashboard
The Transloadit MCP Server exposes 10 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 Transloadit to Vercel AI SDK via MCP
Follow these steps to integrate the Transloadit 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 10 tools from Transloadit and passes them to the LLM
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
Transloadit MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Transloadit to Vercel AI SDK via MCP:
cancel_assembly
This action is final. Aborts a running Transloadit assembly
create_assembly
Provide a steps JSON defining the pipeline. Creates a Transloadit assembly for automated file processing
create_processing_template
Provide a name and the steps JSON. Creates a reusable JSON template for file processing
delete_template
This action is irreversible. Permanently deletes a processing template
get_assembly_details
Retrieves the status and results of a specific Transloadit assembly
get_billing_usage
Pass the month in YYYY-MM format. Retrieves file processing usage and costs for a specific month
get_template_details
Retrieves the configuration of a specific Transloadit template
list_assemblies
Lists recent Transloadit assemblies in the account
list_templates
Lists all saved processing templates
replay_assembly
Re-runs a completed Transloadit assembly
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.
"Fetch the billing usage details for January 2026."
"Cancel the running assembly calculation currently at ID b13a4x2."
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.Connect Transloadit 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 Transloadit to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.