AdButler MCP Server for Vercel AI SDK 5 tools — connect in under 2 minutes
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.
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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 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 your AI agent to unlock professional ad serving management and real-time reporting. From auditing publisher inventory to monitoring campaign delivery and analyzing click-through rates (CTR), your agent handles your ad operations through natural conversation.
The Vercel AI SDK gives every AdButler tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 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
- Inventory Management — List publishers and ad zones to maintain full control over where your advertisements are displayed
- Campaign Oversight — List and retrieve details for self-serve campaigns, including statuses and targeting rules
- Performance Reporting — Retrieve instant statistics on impressions, clicks, and revenue across your entire network
- Creative Auditing — List and manage ad creative assets to ensure your visual content is always up-to-date
- Revenue Optimization — Quickly identify top-performing zones or underdelivering campaigns directly from your chat interface
The AdButler MCP Server exposes 5 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 AdButler to Vercel AI SDK via MCP
Follow these steps to integrate the AdButler 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 5 tools from AdButler and passes them to the LLM
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
AdButler MCP Tools for Vercel AI SDK (5)
These 5 tools become available when you connect AdButler to Vercel AI SDK via MCP:
get_performance_report
Provide a specific metric type and optional dates. Retrieve aggregated ad performance metrics (impressions, clicks, CTR) across zones and campaigns in AdButler
list_campaigns
Retrieve a list of active and pending self-serve advertising campaigns in AdButler
list_creatives
Retrieve the library of ad assets (banners, videos) stored in your AdButler account
list_publishers
Retrieve the full list of publishers managing ad inventory in your AdButler network
list_zones
Requires Publisher ID. Retrieve the active ad zones (placements) linked to a specific AdButler publisher
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 publishers in my AdButler network."
"Show me the performance report for the last 7 days."
"List all active zones for publisher ID 12345."
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.Connect AdButler 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 AdButler to Vercel AI SDK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.