How do I get my Amazon SP-API credentials?

You need to register a private application in the Amazon Seller Central (Partner Network > Develop Apps). You will get an LwA Client ID and Secret. You then self-authorize the app to get a long-lived Refresh Token.

Which region should I choose?

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).

Can I request PII data like customer names?

This MCP server uses standard SP-API tokens. Some PII data (Personally Identifiable Information) in orders requires a Restricted Data Token (RDT), which must be specifically requested in the API call and authorized in your app's roles.

Amazon Selling Partner MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Amazon Selling Partner
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 Selling Partner 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-selling-partner": {
            "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 Selling Partner, 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 Selling Partner MCP Server

Connect your Amazon Selling Partner (SP-API) account to your AI agent to unlock professional e-commerce and marketplace orchestration. From managing incoming orders and auditing FBA inventory to researching the Amazon product catalog and requesting asynchronous reports, your agent handles your seller operations through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Amazon Selling Partner 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

Order Management — List incoming orders and retrieve detailed item lists for fulfillment
FBA Inventory Auditing — Retrieve inventory summaries and monitor stock levels across Amazon fulfillment centers
Catalog Research — Search the Amazon catalog by ASIN or keywords to retrieve technical product metadata
Reporting Orchestration — Request asynchronous seller reports and monitor their processing statuses
Financial Insights — Retrieve financial event groups and marketplace participation details directly from chat

The Amazon Selling Partner 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 Selling Partner to LangChain via MCP

Follow these steps to integrate the Amazon Selling Partner 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 Selling Partner via MCP

Why Use LangChain with the Amazon Selling Partner MCP Server

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

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

Amazon Selling Partner + LangChain Use Cases

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

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

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

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

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

Amazon Selling Partner MCP Tools for LangChain (10)

These 10 tools become available when you connect Amazon Selling Partner to LangChain via MCP:

create_report

g. GET_MERCHANT_LISTINGS_ALL_DATA). Request a report

get_catalog_item

Get catalog item

get_order_items

Get order items

get_report_status

Check report status

list_fba_inventory

List FBA inventory

list_financial_events

List financial events

list_marketplaces

List marketplaces

list_orders

List Amazon orders

list_product_types

List product types

search_catalog

Search Amazon catalog

Example Prompts for Amazon Selling Partner in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Amazon Selling Partner immediately.

"List my recent Amazon orders."

"Show the FBA inventory summary for my top products."

"Search the Amazon catalog for ASIN 'B012345678'."

Troubleshooting Amazon Selling Partner MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Amazon Selling Partner + LangChain FAQ

Common questions about integrating Amazon Selling Partner 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.