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. The agent will use these to obtain short-lived Access Tokens.

How do I choose the correct region?

Select the region that matches your target marketplace: **NA** (North America - US, CA, MX, BR), **EU** (Europe - UK, DE, FR, IT, ES, etc.), or **FE** (Far East - JP, AU, SG).

Why do reports take time to generate?

Amazon Ads reporting API is asynchronous. When you request a report using the `request_sp_report` tool, it returns a `reportId`. You must wait a few moments and use the `get_report_status` tool to download the data once it's ready.

Amazon Ads MCP Server for LangChain 8 tools — connect in under 2 minutes

Name: Amazon Ads
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Amazon Ads 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-ads": {
            "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 Ads, 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 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.

LangChain's ecosystem of 500+ components combines seamlessly with Amazon Ads through native MCP adapters. Connect 8 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

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 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 Ads to LangChain via MCP

Follow these steps to integrate the Amazon Ads 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 8 tools from Amazon Ads via MCP

Why Use LangChain with the Amazon Ads MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Amazon Ads 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 Ads queries for multi-turn workflows

Amazon Ads + LangChain Use Cases

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

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

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

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

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

Amazon Ads MCP Tools for LangChain (8)

These 8 tools become available when you connect Amazon Ads to LangChain 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 LangChain

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

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Amazon Ads + LangChain FAQ

Common questions about integrating Amazon Ads 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.