Amazon Ads MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Amazon Ads 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 Amazon Ads, 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 Amazon Ads MCP Server
Connect your Amazon Ads account to your AI agent to unlock professional campaign orchestration and performance tracking. From auditing Sponsored Products and Sponsored Brands to generating asynchronous performance reports and managing keyword bids, your agent handles your e-commerce advertising strategy through natural conversation.
The Vercel AI SDK gives every Amazon Ads tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- Profile Oversight — Retrieve Amazon Ads profiles to manage campaigns across different global marketplaces
- Campaign Orchestration — List and audit Sponsored Products and Sponsored Brands campaigns to monitor active budgets
- Ad Group & Keyword Management — List ad groups and targeted keywords to ensure your products appear in the right search results
- Performance Reporting — Request and retrieve asynchronous reports to analyze clicks, impressions, and ad spend
- Advertising Insights — Quickly identify underperforming keywords or out-of-budget campaigns directly from your chat interface
The Amazon Ads MCP Server exposes 8 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 Amazon Ads to Vercel AI SDK via MCP
Follow these steps to integrate the Amazon Ads 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 8 tools from Amazon Ads and passes them to the LLM
Why Use Vercel AI SDK with the Amazon Ads MCP Server
Vercel AI SDK provides unique advantages when paired with Amazon Ads 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 Amazon Ads integration everywhere
Built-in streaming UI primitives let you display Amazon Ads 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
Amazon Ads + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Amazon Ads MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Amazon Ads in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Amazon Ads tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Amazon Ads capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Amazon Ads through natural language queries
Amazon Ads MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Amazon Ads to Vercel AI SDK via MCP:
get_report_status
Check report status
list_profiles
List advertiser profiles
list_sb_campaigns
List Sponsored Brands campaigns
list_sb_keywords
List SB keywords
list_sp_ad_groups
List SP ad groups
list_sp_campaigns
List Sponsored Products campaigns
list_sp_keywords
List SP keywords
request_sp_report
Request performance report
Example Prompts for Amazon Ads in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Amazon Ads immediately.
"List my Amazon Ads profiles."
"Show me the active Sponsored Products campaigns for profile ID '123456'."
"Request a campaign performance report for yesterday (Profile ID '123456')."
Troubleshooting Amazon Ads MCP Server with Vercel AI SDK
Common issues when connecting Amazon Ads to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAmazon Ads + Vercel AI SDK FAQ
Common questions about integrating Amazon Ads 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 Amazon Ads 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 Amazon Ads to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.