mcp-amazon-sp-api
MCP server that exposes the Amazon Selling Partner API to Claude Desktop and any other MCP client. It wraps the python-amazon-sp-api SDK and ships 55+ tools across 19 SP-API scopes with automatic pagination, throttle-aware retry and multi-marketplace support.
README
mcp-amazon-sp-api
MCP server that exposes the Amazon Selling Partner API to Claude Desktop and any other client that speaks the Model Context Protocol.
It wraps the python-amazon-sp-api SDK and ships 55+ tools across 19 SP-API scopes — catalog, orders, listings, reports, inventory, pricing, A+ content, feeds, fulfillment, messaging and more — with automatic pagination, throttle-aware retry and multi-marketplace support.
Status: production-ready, used daily against the live SP-API. ~400 unit and integration tests, ~95% coverage.
Features
- 55+ MCP tools covering 19 SP-API scopes (see Tool catalogue).
- Multi-marketplace. Every tool accepts a
marketplaceparameter (ES,DE,FR,IT,GB,NL,BE,PL,SE,IE,US,AE,SA). When omitted, falls back toSP_API_MARKETPLACEfrom.env. - Safe writes. Mutating tools require
confirm=True; without it they return a detailed plan preview so the agent can show the user what would happen. - Automatic pagination on inventory, listings, finances, orders and catalog endpoints.
- Throttle-aware retry with exponential backoff for all SP-API calls.
- Reports pipeline (create → poll → download → parse) for Brand Analytics, FBA reports and Sales & Traffic.
- Bulk updates via
JSON_LISTINGS_FEEDfor price/inventory. - Credential resolution order: environment variables → macOS Keychain →
.env.
Requirements
- Python ≥ 3.12
uv(recommended) or any PEP 517 installer- Amazon SP-API developer credentials (LWA app + refresh token)
Installation
git clone https://github.com/christian-ramos/mcp-amazon-sp-api.git
cd mcp-amazon-sp-api
uv sync
uv sync will create .venv/ and install the runtime dependencies declared in pyproject.toml. For development extras (pytest, ruff):
uv sync --group dev
Configuration
Copy .env.example to .env and fill in your credentials:
cp .env.example .env
SP_API_REFRESH_TOKEN=Atzr|...
LWA_APP_ID=amzn1.application-oa2-client...
LWA_CLIENT_SECRET=...
SP_API_SELLER_ID=...
SP_API_MARKETPLACE=ES
To obtain these:
- In Seller Central, go to Apps & Services → Develop Apps.
- Create (or open) your SP-API application and authorize it for your seller account.
- Note the LWA client ID and LWA client secret.
- Generate a refresh token by self-authorizing the app for your seller account.
- Copy your Seller ID from Settings → Account Info → Your Merchant Token.
Storing credentials in macOS Keychain (optional)
If you prefer not to keep secrets on disk, store them in the Keychain — the server will pick them up automatically:
security add-generic-password -s mcp-amazon-sp-api -a SP_API_REFRESH_TOKEN -w 'Atzr|...'
security add-generic-password -s mcp-amazon-sp-api -a LWA_APP_ID -w 'amzn1.application-oa2-client...'
security add-generic-password -s mcp-amazon-sp-api -a LWA_CLIENT_SECRET -w '...'
Resolution order is: environment variables → Keychain → .env.
Running
As a Claude Desktop MCP server
Add the following to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or the equivalent on your platform:
{
"mcpServers": {
"amazon-sp-api": {
"command": "uv",
"args": [
"--directory", "/absolute/path/to/mcp-amazon-sp-api",
"run", "mcp-amazon-sp-api"
]
}
}
}
Restart Claude Desktop. The 55+ tools will appear under the amazon-sp-api server.
Standalone (for debugging)
uv run mcp-amazon-sp-api
This speaks MCP over stdio; you will need an MCP client on the other end (the MCP Inspector is great for this).
Tool catalogue
Tools are grouped by scope. See src/mcp_amazon_sp_api/tool_docs.py for the full per-tool documentation that Claude reads at runtime via the tool-docs:// MCP resource.
| Scope | Tools |
|---|---|
| Catalog & Orders | list_products, get_product_details, get_orders, get_order_items |
| Analytics | get_sales_summary, get_returns_summary, get_order_finances, estimate_fees, get_profitability_report, get_sales_rankings |
| Listings | get_listing_content, list_my_listings, get_listing_issues, get_product_type_info, update_listing_attribute, update_listing_batch |
| Reports infra | request_report, check_report, download_report |
| Brand Analytics | get_search_terms, get_search_performance, get_market_basket, get_repeat_purchases |
| FBA Reports | get_fba_inventory, get_fba_returns, get_fba_fees_report, get_restock_suggestions |
| Sales & Traffic | get_sales_and_traffic |
| Inventory (realtime) | get_inventory |
| Pricing | get_competitive_pricing, get_competitor_offers |
| A+ Content | list_aplus_content, get_aplus_content, get_aplus_asin_relations |
| Pricing cross-marketplace | get_cross_marketplace_prices, update_marketplace_price, sync_marketplace_prices |
| Competitor analysis | analyze_competitor_prices, compare_with_competitors |
| Listings restrictions | check_listing_restrictions, check_expansion_eligibility |
| Feeds | bulk_update_prices, check_feed |
| Fulfillment inbound | list_fba_shipments, get_fba_shipment_items, get_inbound_guidance |
| Messaging | get_messaging_options, send_buyer_message |
| Solicitations | check_review_eligibility, request_review |
| Invoices | get_invoices, download_invoice |
| Sales API | get_order_metrics |
Development
uv sync --group dev # install with dev deps
uv run pytest tests/unit # unit tests (no SP-API credentials needed)
uv run pytest -m integration # integration tests (require live credentials)
uv run ruff check . # lint
Project layout:
src/mcp_amazon_sp_api/
├── server.py # FastMCP entry point — registers all tool packages
├── config.py # Credentials resolution and marketplace map
├── sp_client.py # Re-export of clients/
├── clients/ # One module per SP-API scope (BaseClient + mixins)
├── tools/ # MCP tool implementations, grouped by scope
└── tool_docs.py # Per-tool detailed docs exposed via tool-docs:// resource
See ROADMAP.md for the implementation history and per-phase scope.
Security notes
- This server holds production seller credentials with full SP-API access. Treat
.envlike a password file — never commit it. - Write tools (
update_listing_attribute,update_listing_batch,update_marketplace_price,sync_marketplace_prices,bulk_update_prices,send_buyer_message,request_review) requireconfirm=True. Without confirmation they return a plan preview rather than executing. - All requests honour SP-API rate limits via throttle-aware retry.
Disclaimer
This project is not affiliated with, endorsed by, or supported by Amazon.com, Inc. Trademarks belong to their respective owners.
License
MIT © Christian Ramos
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.