GenerateBanners MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Check Gb Status, Create Project, Delete Project, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect GenerateBanners through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The GenerateBanners app connector for Vercel AI SDK is a standout in the Marketing Automation category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 GenerateBanners, 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 GenerateBanners MCP Server
Connect your GenerateBanners.com account to any AI agent and take full control of your automated visual content creation and dynamic banner rendering through natural conversation.
The Vercel AI SDK gives every GenerateBanners 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.
What you can do
- Template Orchestration — List all your image templates and retrieve detailed technical metadata about layers and dimensions programmatically
- Automated Rendering — Generate new banners and images by dynamically overriding text and image layers directly from your AI agent
- Project Navigation — List and manage your template projects to maintain a structured and organized visual asset library
- Usage Intelligence — Monitor remaining generation credits and plan details to ensure uninterrupted visual operations
- Instant Deployment — Retrieve real-time URLs for rendered banners for immediate use in social media, email, or web content
The GenerateBanners 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.
All 12 GenerateBanners tools available for Vercel AI SDK
When Vercel AI SDK connects to GenerateBanners through Vinkius, your AI agent gets direct access to every tool listed below — spanning automated-rendering, template-orchestration, dynamic-imaging, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify connectivity
Create a project
Delete a project
Get account info
Get project details
Get template details
List categories
List projects
List templates
Render batch banners
Render a banner
Search templates
Connect GenerateBanners to Vercel AI SDK via MCP
Follow these steps to wire GenerateBanners into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the GenerateBanners MCP Server
Vercel AI SDK provides unique advantages when paired with GenerateBanners 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 GenerateBanners integration everywhere
Built-in streaming UI primitives let you display GenerateBanners 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
GenerateBanners + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the GenerateBanners MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query GenerateBanners in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate GenerateBanners tools and return structured JSON responses to any frontend
Chatbots with tool use: embed GenerateBanners capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with GenerateBanners through natural language queries
Example Prompts for GenerateBanners in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with GenerateBanners immediately.
"List all my image templates in GenerateBanners."
"Render a banner using template '123' with text '20% OFF' and a new background image."
"Check my GenerateBanners credit balance."
Troubleshooting GenerateBanners MCP Server with Vercel AI SDK
Common issues when connecting GenerateBanners to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGenerateBanners + Vercel AI SDK FAQ
Common questions about integrating GenerateBanners 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.