Elai AI Video 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 Elai AI Video through the 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 Elai AI Video, 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 Elai AI Video MCP Server
Integrate Elai.io, the leading AI video generation platform, directly into your AI workflow. Manage your video projects and rendering statuses, track available AI avatars and voices, monitor templates and languages, and oversee your video production using natural language.
The Vercel AI SDK gives every Elai AI Video tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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
- Video Oversight — List and retrieve detailed information and status for all your AI video projects and renders.
- Avatar Intelligence — Access the avatar registry to monitor available AI presenters, their unique identifiers, and preview thumbnails.
- Content Management — Monitor video templates, supported languages, and high-quality AI voices for automated narration.
- Production Auditing — Retrieve high-level summaries of rendering progress, remaining account minutes, and organizational metadata instantly.
The Elai AI Video 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 Elai AI Video to Vercel AI SDK via MCP
Follow these steps to integrate the Elai AI Video 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 Elai AI Video and passes them to the LLM
Why Use Vercel AI SDK with the Elai AI Video MCP Server
Vercel AI SDK provides unique advantages when paired with Elai AI Video 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 Elai AI Video integration everywhere
Built-in streaming UI primitives let you display Elai AI Video 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
Elai AI Video + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Elai AI Video MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Elai AI Video in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Elai AI Video tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Elai AI Video capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Elai AI Video through natural language queries
Elai AI Video MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Elai AI Video to Vercel AI SDK via MCP:
create_new_ai_video
Create a new AI video from a template or text script
get_elai_account_metadata
Retrieve metadata and credit balance for your Elai account
get_video_details
Get detailed settings and rendering status for a specific video
list_ai_videos
List all AI videos created in your Elai account
list_available_avatars
List all AI avatars available for video generation
list_available_voices
List all AI voices and languages supported for video narration
list_latest_video_projects
Identify the most recently created or updated video projects
list_successfully_rendered_videos
Identify videos that have finished rendering and are ready for download
list_video_templates
List all video templates available in your account
trigger_video_rendering
Start the rendering process for a specific video project
Example Prompts for Elai AI Video in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Elai AI Video immediately.
"List all my AI video projects."
"Show me the available AI avatars."
"Check the status of video 'VID-12345'."
Troubleshooting Elai AI Video MCP Server with Vercel AI SDK
Common issues when connecting Elai AI Video to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpElai AI Video + Vercel AI SDK FAQ
Common questions about integrating Elai AI Video 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 Elai AI Video 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 Elai AI Video to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.