Creatomate MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Creatomate 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 Creatomate, 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 Creatomate MCP Server
Integrate Creatomate, the powerful video automation platform, directly into your AI workflow. Generate high-quality videos from templates, manage your media assets, and monitor rendering tasks using natural language.
The Vercel AI SDK gives every Creatomate tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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
- Automated Rendering — Trigger new video renders using dynamic templates and custom modifications via chat.
- Template Exploration — List and inspect available video templates and their dynamic fields.
- Asset Management — Manage your library of images, videos, and audio files used in your projects.
- Status Tracking — Monitor the progress of rendering tasks and retrieve final video URLs in real-time.
The Creatomate MCP Server exposes 9 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 Creatomate to Vercel AI SDK via MCP
Follow these steps to integrate the Creatomate 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 9 tools from Creatomate and passes them to the LLM
Why Use Vercel AI SDK with the Creatomate MCP Server
Vercel AI SDK provides unique advantages when paired with Creatomate 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 Creatomate integration everywhere
Built-in streaming UI primitives let you display Creatomate 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
Creatomate + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Creatomate MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Creatomate in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Creatomate tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Creatomate capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Creatomate through natural language queries
Creatomate MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect Creatomate to Vercel AI SDK via MCP:
get_project_settings
Retrieve settings and metadata for the current project
get_render_status
Check the status and get the URL of a rendered video
get_template_details
Get structure and dynamic fields for a template
list_media_assets
List uploaded media assets (images, videos, audio)
list_recent_renders
List recent video rendering tasks and their status
list_video_automations
List automated video workflows
list_video_templates
List all video templates available in your project
render_video
Trigger a new video render using a template and modifications
search_templates_by_name
Search for video templates by name
Example Prompts for Creatomate in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Creatomate immediately.
"Render a video using template 't8s9df7' with the text 'Flash Sale!' and background image 'sale.jpg'."
"What's the status of my video render 'r123abc'?"
"List all video templates in my project."
Troubleshooting Creatomate MCP Server with Vercel AI SDK
Common issues when connecting Creatomate to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCreatomate + Vercel AI SDK FAQ
Common questions about integrating Creatomate 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 Creatomate 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 Creatomate to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.