GAN.ai MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect GAN.ai 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 GAN.ai, 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 GAN.ai MCP Server
Connect your GAN.ai account to any AI agent to automate your personalized video marketing and sales outreach through the Model Context Protocol (MCP). GAN.ai is a leading generative AI platform that enables brands to create thousands of unique videos with custom names, locations, and details. This MCP server enables you to trigger video generation, monitor real-time processing status, and retrieve landing page links directly through natural conversation.
The Vercel AI SDK gives every GAN.ai 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.
Key Features
- Personalized Video Generation — Trigger bulk video generation based on project templates and dynamic tags (e.g., first name, company).
- Real-time Status Monitoring — Track the asynchronous processing of your video requests and retrieve final MP4 and landing page URLs.
- Project Oversight — List all video templates/projects and fetch detailed variable definitions for personalization.
- Campaign Discovery — Access your history of generated videos and monitor their status (pending, processing, completed).
- Landing Page Integration — Retrieve branded landing page permalinks for each generated video to fuel your outreach sequences.
- Engagement Analytics — Fetch view counts and engagement metrics for specific videos to measure campaign success.
- Webhook Visibility — List configured webhooks to ensure your systems are receiving real-time generation notifications.
- Real-time Synchronization — Keep your generative video strategy accessible to your AI assistant without leaving your primary workspace.
The GAN.ai 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.
How to Connect GAN.ai to Vercel AI SDK via MCP
Follow these steps to integrate the GAN.ai 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 12 tools from GAN.ai and passes them to the LLM
Why Use Vercel AI SDK with the GAN.ai MCP Server
Vercel AI SDK provides unique advantages when paired with GAN.ai 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 GAN.ai integration everywhere
Built-in streaming UI primitives let you display GAN.ai 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
GAN.ai + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the GAN.ai MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query GAN.ai in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate GAN.ai tools and return structured JSON responses to any frontend
Chatbots with tool use: embed GAN.ai capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with GAN.ai through natural language queries
GAN.ai MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect GAN.ai to Vercel AI SDK via MCP:
generate_personalized_videos
Generate videos in bulk
generate_single_video
Generate one video
get_generation_status
Check video status
get_project_metadata
Get template schema
get_video_metadata
Get video details
get_video_stats
Get engagement stats
get_workspace_info
ai workspace. Get workspace details
list_configured_webhooks
List active webhooks
list_generated_videos
List video history
list_landing_templates
List landing pages
list_video_projects
List video templates
verify_api_connection
ai API connectivity. Verify API access
Example Prompts for GAN.ai in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with GAN.ai immediately.
"List all my available video projects in GAN.ai."
"Generate a personalized video for 'John Doe' (johndoe@email.com) using project 'proj_123'."
"Check the status of video generation 'inf_abc789'."
Troubleshooting GAN.ai MCP Server with Vercel AI SDK
Common issues when connecting GAN.ai to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGAN.ai + Vercel AI SDK FAQ
Common questions about integrating GAN.ai 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 GAN.ai 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 GAN.ai to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.