Amazon DSP MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Amazon DSP 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 DSP, 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 DSP MCP Server
Connect your Amazon DSP (Demand-Side Platform) account to your AI agent to unlock professional programmatic advertising orchestration. From managing display and video campaigns to auditing audience segments and tracking performance reports, your agent handles your programmatic strategy through natural conversation.
The Vercel AI SDK gives every Amazon DSP tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 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 Orchestration — List and manage DSP campaigns (formerly Orders) and monitor their budgets and delivery statuses
- Ad Group Oversight — Retrieve details for ad groups (Line Items) to verify targeting and pacing settings
- Creative Management — List and audit creative assets associated with your campaigns to ensure brand compliance
- Audience Targeting — Retrieve custom audiences and segments used for precise programmatic targeting
- Performance Reporting — Request and monitor asynchronous performance reports to analyze impressions, reach, and conversions
The Amazon DSP MCP Server exposes 7 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 DSP to Vercel AI SDK via MCP
Follow these steps to integrate the Amazon DSP 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 7 tools from Amazon DSP and passes them to the LLM
Why Use Vercel AI SDK with the Amazon DSP MCP Server
Vercel AI SDK provides unique advantages when paired with Amazon DSP 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 DSP integration everywhere
Built-in streaming UI primitives let you display Amazon DSP 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 DSP + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Amazon DSP MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Amazon DSP in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Amazon DSP tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Amazon DSP capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Amazon DSP through natural language queries
Amazon DSP MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect Amazon DSP to Vercel AI SDK via MCP:
get_campaign_details
Get campaign metadata
get_report_status
Check report status
list_ad_groups
List DSP ad groups
list_audiences
List audiences
list_campaigns
List DSP campaigns
list_creatives
List creatives
request_report
Request performance report
Example Prompts for Amazon DSP in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Amazon DSP immediately.
"List my Amazon DSP campaigns."
"Show me the active ad groups for campaign ID '123456'."
"Request a DSP performance report for yesterday."
Troubleshooting Amazon DSP MCP Server with Vercel AI SDK
Common issues when connecting Amazon DSP to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAmazon DSP + Vercel AI SDK FAQ
Common questions about integrating Amazon DSP 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 DSP 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 DSP to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.