How do I find my Amazon Ads API credentials?

You need to create a 'Login with Amazon' application in the Amazon Developer Console to get your Client ID and Client Secret. Then, you generate a Refresh Token. You also need your AMC Instance ID.

What is an AMC workflow?

A workflow in AMC is a saved SQL query. You can save complex queries as workflows and then execute them repeatedly by triggering a workflow execution.

How do I get the results of my query?

Query executions are asynchronous. First, trigger an execution. Then, check its status. Once the status is COMPLETED, use the `get_execution_download_urls` tool to get a pre-signed S3 link to download the CSV data.

Amazon Marketing Cloud MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Amazon Marketing Cloud
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Amazon Marketing Cloud through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "amazon-marketing-cloud": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Amazon Marketing Cloud, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Amazon Marketing Cloud through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Amazon Marketing Cloud MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Amazon Marketing Cloud via MCP

Why Use LangChain with the Amazon Marketing Cloud MCP Server

LangChain provides unique advantages when paired with Amazon Marketing Cloud through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Amazon Marketing Cloud MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Amazon Marketing Cloud queries for multi-turn workflows

Amazon Marketing Cloud + LangChain Use Cases

Practical scenarios where LangChain combined with the Amazon Marketing Cloud MCP Server delivers measurable value.

RAG with live data: combine Amazon Marketing Cloud tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Amazon Marketing Cloud, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Amazon Marketing Cloud tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Amazon Marketing Cloud tool call, measure latency, and optimize your agent's performance

Amazon Marketing Cloud MCP Tools for LangChain (10)

These 10 tools become available when you connect Amazon Marketing Cloud to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Amazon Marketing Cloud to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Amazon Marketing Cloud + LangChain FAQ

Common questions about integrating Amazon Marketing Cloud MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.