Amazon Marketing Cloud MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Amazon Marketing Cloud 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 Marketing Cloud, 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 Marketing Cloud MCP Server
Connect your Amazon Marketing Cloud (AMC) instance to your AI agent to unlock professional cross-channel advertising analytics. From defining SQL-based workflows to executing ad-hoc queries and retrieving secure download URLs for your reports, your agent handles your AMC data pipelines through natural conversation.
The Vercel AI SDK gives every Amazon Marketing Cloud 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
- Workflow Orchestration — List, retrieve, and manage saved SQL workflows to standardize your analytics
- Execution Management — Trigger new workflow executions or ad-hoc SQL queries and monitor their processing status
- Results Retrieval — Securely fetch S3 download URLs for completed execution outputs directly from chat
- Task Oversight — Audit recent execution history and cancel long-running or stalled queries
- Data Insights — Quickly organize and trigger complex multi-touch attribution queries without navigating the AWS console
The Amazon Marketing Cloud 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.
How to Connect Amazon Marketing Cloud to Vercel AI SDK via MCP
Follow these steps to integrate the Amazon Marketing Cloud 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 10 tools from Amazon Marketing Cloud and passes them to the LLM
Why Use Vercel AI SDK with the Amazon Marketing Cloud MCP Server
Vercel AI SDK provides unique advantages when paired with Amazon Marketing Cloud 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 Marketing Cloud integration everywhere
Built-in streaming UI primitives let you display Amazon Marketing Cloud 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 Marketing Cloud + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Amazon Marketing Cloud MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Amazon Marketing Cloud in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Amazon Marketing Cloud tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Amazon Marketing Cloud capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Amazon Marketing Cloud through natural language queries
Amazon Marketing Cloud MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Amazon Marketing Cloud to Vercel AI SDK via MCP:
create_execution
Execute an AMC query
create_workflow
Create an AMC workflow
delete_execution
Cancel an execution
delete_workflow
Delete an AMC workflow
get_execution_download_urls
Get execution download URLs
get_execution_status
g. PENDING, COMPLETED). Check execution status
get_workflow_details
Get workflow details
list_executions
List workflow executions
list_workflows
List AMC workflows
update_workflow
Update an AMC workflow
Example Prompts for Amazon Marketing Cloud in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Amazon Marketing Cloud immediately.
"List my saved AMC workflows."
"Check the status of execution ID 'exec-12345'."
"Execute workflow 'wkfl-98765' for the last 7 days."
Troubleshooting Amazon Marketing Cloud MCP Server with Vercel AI SDK
Common issues when connecting Amazon Marketing Cloud to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAmazon Marketing Cloud + Vercel AI SDK FAQ
Common questions about integrating Amazon Marketing Cloud 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 Marketing Cloud 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 Marketing Cloud to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.