BannerBite 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 BannerBite 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 BannerBite, 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 BannerBite MCP Server
Empower your AI agent to orchestrate your visual content production with BannerBite, the powerful media generation engine. By connecting BannerBite to your agent, you transform complex graphic design tasks into a natural conversation. Your agent can instantly generate custom images or videos from your pre-defined templates, audit recent renders, and list project scenes (bites) without you ever touching a design tool. Whether you're automating social media assets or personalizing marketing graphics, your agent acts as a real-time creative production manager for your brand.
The Vercel AI SDK gives every BannerBite 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
- Media Generation — Generate high-quality images (PNG) or videos (MP4) from templates by providing dynamic layer modifications via natural language.
- Project Oversight — List and explore all BannerBite projects and their associated scenes (bites) to map your creative assets.
- Render Auditing — Retrieve and list recent media renders, checking statuses and accessing final delivery URLs instantly.
- Dynamic Modifications — Update text, images, and other layers within a template dynamically during the generation process.
- Creative Automation — Integrate visual media generation directly into your AI workflows for rapid content scaling.
The BannerBite 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 BannerBite to Vercel AI SDK via MCP
Follow these steps to integrate the BannerBite 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 BannerBite and passes them to the LLM
Why Use Vercel AI SDK with the BannerBite MCP Server
Vercel AI SDK provides unique advantages when paired with BannerBite 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 BannerBite integration everywhere
Built-in streaming UI primitives let you display BannerBite 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
BannerBite + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the BannerBite MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query BannerBite in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate BannerBite tools and return structured JSON responses to any frontend
Chatbots with tool use: embed BannerBite capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with BannerBite through natural language queries
BannerBite MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect BannerBite to Vercel AI SDK via MCP:
generate_image
Convenience tool to generate a static image from a project
generate_media
Generate an image or video from a template
generate_video
Convenience tool to generate a video from a project
get_account_check
Verify Bannerbite connection
get_project
Get details for a specific project
get_render
Get details and status for a specific render
list_bites
List all bites (scenes) for a specific project
list_projects
List all Bannerbite projects
list_renders
List all recent media renders
Example Prompts for BannerBite in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with BannerBite immediately.
"List all my BannerBite projects."
"Generate an image for project 'Summer Sale' with text '50% OFF' on layer 'headline'."
"Show me the status of my recent renders."
Troubleshooting BannerBite MCP Server with Vercel AI SDK
Common issues when connecting BannerBite to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBannerBite + Vercel AI SDK FAQ
Common questions about integrating BannerBite 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 BannerBite 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 BannerBite to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.