Skip to main content

amazon-orders-mcp - An MCP server for Amazon order history

Version Python Versions Build GitHub License

amazon-orders-mcp is an unofficial MCP server for Amazon order history, line items, and transactions, built on amazon-orders. It gives your AI assistant tools for your Amazon account, available from Claude and any other MCP client.

The server never sees your credentials. When you sign in, a browser window opens on Amazon's own page, and the server reuses the session that leaves behind. It also runs on a server without a display, where you sign in from a terminal instead (see Remote Clients).

Note: This server reads its data through amazon-orders, which works by parsing data from Amazon's consumer-facing website. As Amazon provides no official API to use, older versions may break at any time, so it's recommended that you use the latest version.

Installation

amazon-orders-mcp is available on PyPI and is run with uvx, so there's nothing to install up front. Add it to your AI assistant:

Claude

Claude Desktop: download amazon-orders-mcp-<version>.mcpb from the latest release and open it.

Claude Code:

claude mcp add amazon-orders -- uvx amazon-orders-mcp

ChatGPT

ChatGPT Desktop: in Settings → Plugins, add an MCP server of type STDIO, with uvx as the command and amazon-orders-mcp as its argument.

Codex:

codex mcp add amazon-orders -- uvx amazon-orders-mcp

Other Clients

Any client that runs local MCP servers can use this JSON, or amazon-orders-mcp as the command if you've installed it with pip install amazon-orders-mcp:

{
  "mcpServers": {
    "amazon-orders": {
      "command": "uvx",
      "args": ["amazon-orders-mcp"]
    }
  }
}

Remote Clients

For clients that connect to a server instead of running one, the server can also serve Streamable HTTP:

uvx amazon-orders-mcp --transport streamable-http

It listens at http://127.0.0.1:8000/mcp. See --help to change that, or to require a bearer token (required off loopback). On a server without a display, sign_in can't open a browser window, so sign in there first with uvx amazon-orders login, which asks for your username and password instead.

Docker

docker build -t amazon-orders-mcp .
docker run -i --rm -v amazon-orders:/home/app/.config/amazonorders amazon-orders-mcp

A container has no display, so sign in with the login target first. See the Dockerfile for how.

Basic Usage

Just ask your assistant about your orders, and it will use the following tools:

Tool Returns
sign_in Opens a browser window for you to sign in to Amazon, when you ask
get_orders A batch of orders by year, time filter or order type, optionally detailed
search_orders A batch of items by product, order number, address or recipient, any year
get_order One order, by order number
get_tracking A shipment's carrier and tracking number, from an order's shipment ID
get_invoices An order's printable summary, and any invoice PDFs the seller issues
get_family_members Amazon Household members whose orders you can view, like Teen accounts
get_transactions A batch of payment transactions over a number of days, or for an order
get_gift_cards The Gift Card balance, with a batch of its activity over a number of days
get_prime_payments Prime membership fee charges, each with its order number
check_session Whether you're signed in, on each Amazon site you have a session for
get_config The settings your assistant can change, and their values
update_config Changes one of those settings

Order history and transactions come back in batches of limit results (25 by default, and a batch can run up to a page over), with a cursor your assistant passes back to get the next batch.

Every tool that reads Amazon takes an optional site, like amazon.de, so your assistant can read each Amazon site you shop on from one server, e.g. "my last amazon.de orders". Without it, tools read your default site, the domain setting. Each site has its own sign-in, so ask your assistant to sign you in to each one.

Configuration

Ask your assistant to change a setting, such as the default Amazon site (e.g. amazon.co.uk) or the browser to sign in with. Settings are shared with the amazon-orders CLI, so it follows the same changes. See Supported Sites for the sites amazon-orders can read.

Documentation

For more on the data the server returns, amazon-orders's official documentation is available at Read the Docs, including the Order entity's fields and troubleshooting.

Contributing

Want to contribute financially? If you've found amazon-orders-mcp useful, sponsorship would be greatly appreciated!

Metadata

Release files for amazon-orders-mcp 2.0.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for amazon-orders-mcp 2.0.0
File Size Uploaded Provenance
amazon_orders_mcp-2.0.0.tar.gz 26.8 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for amazon-orders-mcp 2.0.0
File Interpreter ABI Platform
amazon_orders_mcp-2.0.0-py3-none-any.whl Python 3 none any Details

Total release size: 54.5 kB

Release files / amazon_orders_mcp-2.0.0.tar.gz

Download URL amazon_orders_mcp-2.0.0.tar.gz
Size 26.8 kB
Tags Source
SHA-256 checksum
How to use checksums
c2d77c48ec0094a860d02c4034a3afa79868e8dfddf9f7266083d1004acfe057
BLAKE2b-256 checksum
How to use checksums
f4abdf9a901403c0f9803e3eed69a894a7e0690896fe8db9621f704ed14f074a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.15

Release files / amazon_orders_mcp-2.0.0-py3-none-any.whl

Download URL amazon_orders_mcp-2.0.0-py3-none-any.whl
Size 27.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
9f01191134dc2df00e874240ad3b8b10863313d61f9fc667911739d7edd3f276
BLAKE2b-256 checksum
How to use checksums
63f9df246427fda8ca00b13a6a755f6e7a2e00fa7125dd58bafae604411e5b05
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.15

Security for amazon-orders-mcp 2.0.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page