Kling AI (Generative Video & Image) 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 Kling AI (Generative Video & Image) 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 Kling AI (Generative Video & Image), 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 Kling AI (Generative Video & Image) MCP Server
Connect your Kling AI account to any AI agent and take full control of state-of-the-art generative video and creative media production through natural conversation.
The Vercel AI SDK gives every Kling AI (Generative Video & Image) 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
- Text-to-Video — Generate cinematic, high-fidelity AI videos from scenic descriptions using the Kling V3 engine directly from your agent
- Image Animation — Transform static frames into dynamic videos (image-to-video) with precise control over motion trajectories and dynamics
- AI Virtual Try-On — Map digital garments naturally onto human models using Kolors AI to visualize fashion assets in real-world contexts
- Lip-Sync Video — Synchronize speech and mouth movements to video portraits using audio files for professional AI-driven avatars
- High-Quality Text-to-Image — Generate up to 4 high-fidelity images simultaneously using the Kolors architecture for rapid visual iteration
- Task Orchestration — Manage asynchronous generation jobs, poll for status updates, and retrieve final MP4 and image URLs securely
The Kling AI (Generative Video & Image) 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 Kling AI (Generative Video & Image) to Vercel AI SDK via MCP
Follow these steps to integrate the Kling AI (Generative Video & Image) 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 Kling AI (Generative Video & Image) and passes them to the LLM
Why Use Vercel AI SDK with the Kling AI (Generative Video & Image) MCP Server
Vercel AI SDK provides unique advantages when paired with Kling AI (Generative Video & Image) 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 Kling AI (Generative Video & Image) integration everywhere
Built-in streaming UI primitives let you display Kling AI (Generative Video & Image) 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
Kling AI (Generative Video & Image) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Kling AI (Generative Video & Image) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Kling AI (Generative Video & Image) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Kling AI (Generative Video & Image) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Kling AI (Generative Video & Image) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Kling AI (Generative Video & Image) through natural language queries
Kling AI (Generative Video & Image) MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Kling AI (Generative Video & Image) to Vercel AI SDK via MCP:
get_image_task
When status is succeed, returns the generated image URLs. Check the processing status of a Kling image task
get_lipsync_task
Retrieve the final MP4 when succeed. Check the status of an AI Lip-Sync task
get_tryon_task
Once succeeded, retrieves the final composited image URL. Check the status of an AI Virtual Try-On task
get_video_task
If succeeded, returns the final MP4 URLs. Check the processing status and retrieve results of a Kling video task
image_to_video
Returns a Task ID for polling. Animate a static image into a video using Kling AI
lip_sync_video
Returns a Task ID. Drive mouth movements and synchronize speech to a video portrait
list_video_tasks
List recent Kling AI video generation tasks
text_to_image
Generates up to 4 images. Returns a Task ID for polling. Generate images from text using Kolors AI model via Kling
text_to_video
Returns a Task ID that must be polled until completion (status: succeed). Models: kling-v1, kling-v2, kling-v3. Generate a cinematic AI video from a text prompt using Kling V3
virtual_try_on
Blends a source garment image naturally onto a target person's photo. Returns a Task ID. Map digital garments onto human models using AI Virtual Try-On
Example Prompts for Kling AI (Generative Video & Image) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Kling AI (Generative Video & Image) immediately.
"Generate a 5-second cinematic video of a futuristic city in the rain using Kling V3"
"Animate this static image into a video with gentle camera pan: [url]"
"What is the status of my virtual try-on task ID 'try-456'?"
Troubleshooting Kling AI (Generative Video & Image) MCP Server with Vercel AI SDK
Common issues when connecting Kling AI (Generative Video & Image) to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpKling AI (Generative Video & Image) + Vercel AI SDK FAQ
Common questions about integrating Kling AI (Generative Video & Image) 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 Kling AI (Generative Video & Image) with your favorite client
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Connect Kling AI (Generative Video & Image) to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.