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 LlamaIndex 10 tools — connect in under 2 minutes

Name: Amazon Selling Partner
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Amazon Selling Partner as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Amazon Selling Partner. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Amazon Selling Partner?"
    )
    print(response)

asyncio.run(main())

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* 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.

LlamaIndex agents combine Amazon Selling Partner tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the Amazon Selling Partner MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Amazon Selling Partner

Why Use LlamaIndex with the Amazon Selling Partner MCP Server

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

Data-first architecture: LlamaIndex agents combine Amazon Selling Partner tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Amazon Selling Partner tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Amazon Selling Partner, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Amazon Selling Partner tools were called, what data was returned, and how it influenced the final answer

Amazon Selling Partner + LlamaIndex Use Cases

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

Hybrid search: combine Amazon Selling Partner real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Amazon Selling Partner to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Amazon Selling Partner for fresh data

Analytical workflows: chain Amazon Selling Partner queries with LlamaIndex's data connectors to build multi-source analytical reports

Amazon Selling Partner MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Amazon Selling Partner to LlamaIndex 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 LlamaIndex

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

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Amazon Selling Partner + LlamaIndex FAQ

Common questions about integrating Amazon Selling Partner MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Amazon Selling Partner tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.