AdButler MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Check Adbutler Status, Get Advertiser, Get Campaign, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect AdButler 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 AdButler app connector for Vercel AI SDK is a standout in the Marketing Automation category — giving your AI agent 10 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 AdButler, 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 AdButler MCP Server
Connect your AdButler account to any AI agent and take full control of your ad server orchestration and automated display advertising through natural conversation.
The Vercel AI SDK gives every AdButler 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
- Campaign & Ad Portfolio Orchestration — List and manage your entire high-fidelity portfolio of advertisers and campaigns programmatically, retrieving detailed technical metadata
- Banner & Creative Intelligence — Programmatically retrieve directories of banners and access complete high-fidelity asset metadata to coordinate your organizational broadcasting
- Performance Architecture Monitoring — Access real-time status updates for active banners and track impression/click metrics directly through your agent
- Metadata Management — Programmatically retrieve high-fidelity zone IDs and publisher metadata to maintain a perfectly coordinated ad inventory record
- Operational Monitoring — Verify account-level API connectivity and monitor orchestration volume directly through your agent for perfectly coordinated service scaling
The AdButler 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.
All 10 AdButler tools available for Vercel AI SDK
When Vercel AI SDK connects to AdButler through Vinkius, your AI agent gets direct access to every tool listed below — spanning ad-server, campaign-management, impression-tracking, 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 AdButler API connectivity
Get advertiser details
Get campaign details
Get ad serving statistics
List all advertisers
List ad items in a campaign
List all campaigns
List all placements
List all publishers
List all ad zones
Connect AdButler to Vercel AI SDK via MCP
Follow these steps to wire AdButler 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 AdButler MCP Server
Vercel AI SDK provides unique advantages when paired with AdButler 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 AdButler integration everywhere
Built-in streaming UI primitives let you display AdButler 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
AdButler + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the AdButler MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query AdButler in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate AdButler tools and return structured JSON responses to any frontend
Chatbots with tool use: embed AdButler capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with AdButler through natural language queries
Example Prompts for AdButler in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with AdButler immediately.
"List all active advertisers in my AdButler account."
"Show the performance for 'Banner A' from yesterday."
"Check for any campaigns expiring this week."
Troubleshooting AdButler MCP Server with Vercel AI SDK
Common issues when connecting AdButler to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAdButler + Vercel AI SDK FAQ
Common questions about integrating AdButler 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.