Amazon Ads MCP

Name: Amazon Ads MCP
Author: KuudoAI

作者：KuudoAIバージョン 0.2.4i★ –iパソコンで動く

レジストリ名io.github.tspicer/amazon_ads_mcp

インストール

概要

作者による説明（英語の原文）

Amazon Ads API MCP server for Amazon Advertising API

PopNx MCPの3つの柱

この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。

利用者の声iレビューはまだありませんレビューは今後のステップで、アカウント機能と一緒に始まります
私たちの基本チェックi1項目中0項目に合格公開情報からチェック。コードはまだスキャンしていません
利用状況i未計測★ –

できること

このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。

接続方法: パソコンで動く
トランスポート: stdio
カテゴリ: マーケティング・SNS
入力が必要なもの：AMAZON_AD_API_CLIENT_SECRET, AMAZON_AD_API_REFRESH_TOKEN, OPENBRIDGE_REFRESH_TOKEN, OPENBRIDGE_API_KEY, AMAZON_ADS_DOWNLOAD_AUTH_TOKEN

インストール

使っているAIアプリを選んで、設定をコピーしてください。

インストールの前に

基本チェック：1項目中0項目に合格
あなたのパソコンで、あなたのユーザーと同じ権限（ファイル、ネットワーク、アプリ）で動きます。
自分で入力するもの： AMAZON_ADS_AUTH_METHOD, AMAZON_AD_API_CLIENT_ID, AMAZON_AD_API_CLIENT_SECRET, AMAZON_AD_API_REFRESH_TOKEN, AMAZON_AD_API_PROFILE_ID, OPENBRIDGE_REFRESH_TOKEN, OPENBRIDGE_API_KEY, OPENBRIDGE_REMOTE_IDENTITY_ID, AMAZON_ADS_REGION, AMAZON_AD_API_PACKAGES, AMAZON_ADS_DOWNLOAD_AUTH_TOKEN

「秘密」と表示された値は、あなたのアカウントの鍵です。絶対に人に教えたり、チャットに貼り付けたりしないでください。

必要なもの

PyPIPythonのuvのインストール（uvxコマンドに必要）

どのアプリを使っていますか？

ClaudeClaude CodeCursorVS CodeChatGPT

上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。

Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます

{
  "mcpServers": {
    "amazon-ads": {
      "command": "uvx",
      "args": [
        "amazon-ads-mcp"
      ],
      "env": {
        "AMAZON_ADS_AUTH_METHOD": "your-value",
        "AMAZON_AD_API_CLIENT_ID": "your-value",
        "AMAZON_AD_API_CLIENT_SECRET": "your-value",
        "AMAZON_AD_API_REFRESH_TOKEN": "your-value",
        "AMAZON_AD_API_PROFILE_ID": "your-value",
        "OPENBRIDGE_REFRESH_TOKEN": "your-value",
        "OPENBRIDGE_API_KEY": "your-value",
        "OPENBRIDGE_REMOTE_IDENTITY_ID": "your-value",
        "AMAZON_ADS_REGION": "your-value",
        "AMAZON_AD_API_PACKAGES": "your-value",
        "AMAZON_ADS_DOWNLOAD_AUTH_TOKEN": "your-value"
      }
    }
  }
}

ターミナルでこれを実行します

claude mcp add amazon-ads --env AMAZON_ADS_AUTH_METHOD=your-value --env AMAZON_AD_API_CLIENT_ID=your-value --env AMAZON_AD_API_CLIENT_SECRET=your-value --env AMAZON_AD_API_REFRESH_TOKEN=your-value --env AMAZON_AD_API_PROFILE_ID=your-value --env OPENBRIDGE_REFRESH_TOKEN=your-value --env OPENBRIDGE_API_KEY=your-value --env OPENBRIDGE_REMOTE_IDENTITY_ID=your-value --env AMAZON_ADS_REGION=your-value --env AMAZON_AD_API_PACKAGES=your-value --env AMAZON_ADS_DOWNLOAD_AUTH_TOKEN=your-value -- uvx amazon-ads-mcp

動かす前に、空欄の値を入力してください。

Cursorで開く

または、設定を自分でコピーする

プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます

{
  "mcpServers": {
    "amazon-ads": {
      "command": "uvx",
      "args": [
        "amazon-ads-mcp"
      ],
      "env": {
        "AMAZON_ADS_AUTH_METHOD": "your-value",
        "AMAZON_AD_API_CLIENT_ID": "your-value",
        "AMAZON_AD_API_CLIENT_SECRET": "your-value",
        "AMAZON_AD_API_REFRESH_TOKEN": "your-value",
        "AMAZON_AD_API_PROFILE_ID": "your-value",
        "OPENBRIDGE_REFRESH_TOKEN": "your-value",
        "OPENBRIDGE_API_KEY": "your-value",
        "OPENBRIDGE_REMOTE_IDENTITY_ID": "your-value",
        "AMAZON_ADS_REGION": "your-value",
        "AMAZON_AD_API_PACKAGES": "your-value",
        "AMAZON_ADS_DOWNLOAD_AUTH_TOKEN": "your-value"
      }
    }
  }
}

ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。

VS Codeで開く

または、設定を自分でコピーする

プロジェクトの .vscode/mcp.json に貼り付けます

{
  "servers": {
    "amazon-ads": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "amazon-ads-mcp"
      ],
      "env": {
        "AMAZON_ADS_AUTH_METHOD": "your-value",
        "AMAZON_AD_API_CLIENT_ID": "your-value",
        "AMAZON_AD_API_CLIENT_SECRET": "your-value",
        "AMAZON_AD_API_REFRESH_TOKEN": "your-value",
        "AMAZON_AD_API_PROFILE_ID": "your-value",
        "OPENBRIDGE_REFRESH_TOKEN": "your-value",
        "OPENBRIDGE_API_KEY": "your-value",
        "OPENBRIDGE_REMOTE_IDENTITY_ID": "your-value",
        "AMAZON_ADS_REGION": "your-value",
        "AMAZON_AD_API_PACKAGES": "your-value",
        "AMAZON_ADS_DOWNLOAD_AUTH_TOKEN": "your-value"
      }
    }
  }
}

これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。

選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。

自分で入力する値

AMAZON_ADS_AUTH_METHOD env
Authentication method: direct or openbridge.
AMAZON_AD_API_CLIENT_ID env
Amazon Ads API client ID for direct auth.
AMAZON_AD_API_CLIENT_SECRET 秘密 env
Amazon Ads API client secret for direct auth.
AMAZON_AD_API_REFRESH_TOKEN 秘密 env
Amazon Ads API refresh token for direct auth.
AMAZON_AD_API_PROFILE_ID env
Amazon Ads profile ID for direct auth.
OPENBRIDGE_REFRESH_TOKEN 秘密 env
Openbridge refresh token (API key).
OPENBRIDGE_API_KEY 秘密 env
Openbridge API key (alias for OPENBRIDGE_REFRESH_TOKEN).
OPENBRIDGE_REMOTE_IDENTITY_ID env
Openbridge remote identity ID.
AMAZON_ADS_REGION env
Amazon Ads API region (na/eu/fe).
AMAZON_AD_API_PACKAGES env
Comma-separated API packages to load.
AMAZON_ADS_DOWNLOAD_AUTH_TOKEN 秘密 env
Optional bearer token to protect download routes.

この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。

できること

パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。

基本チェックi

誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック

! 注意
作者とリポジトリが一致
公開者（tspicer）がリポジトリの所有者（KuudoAI）ではありません。別の人が登録した可能性があります
… 未チェック
今もメンテナンスされている
このリポジトリはまだGitHubから読み取っていません
… 未チェック
ライセンスがある
このリポジトリはまだGitHubから読み取っていません
– 対象外
エンドポイントが応答する
これはパソコンで動くため、インターネット上のエンドポイントはありません
– 対象外
OAuthでサインイン
パソコンで動き、代わりにローカルの設定を使います
… 未チェック
ツールの説明に隠れた指示がない
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです

マーケティング・SNSのほかのサーバーとの比較i

このカテゴリのほかの2985件のうち0%よりスターが多い
このカテゴリのほかの2985件のうち1%より最近レジストリに公開
基本チェックの結果が、このカテゴリのほかの2985件のうち35%と同じかそれ以上

レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。

よくある質問

Amazon Ads MCPは安全ですか？

当てはまる基本チェック1項目のうち0項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。

どんなキーやコードが必要ですか？

入力が必要なもの：AMAZON_AD_API_CLIENT_SECRET, AMAZON_AD_API_REFRESH_TOKEN, OPENBRIDGE_REFRESH_TOKEN, OPENBRIDGE_API_KEY, AMAZON_ADS_DOWNLOAD_AUTH_TOKEN

パソコンで動きますか、それともクラウドですか？

あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません（サーバー自体がオンラインサービスを呼び出す場合を除きます）。

今もメンテナンスされていますか？

GitHubリポジトリの最終更新は–、最新バージョン（0.2.4）がレジストリに届いたのは9 か月前です。

どのアプリで使えますか？

Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにPython (uv)も必要です。

代わりに使えるものは？

同じカテゴリには：MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

代わりの候補

同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。

カードの見方：★ GitHubスターi3つの柱：レビュー · チェック · 利用状況i更新＝最新バージョンをレジストリに公開した日i

MCP YouTube Transcript

作者：jkawamoto

An MCP server retrieving transcripts of YouTube videos

パソコンで動く★ 495MIT10 日前更新

インストール

Google Analytics MCP

作者：surendranb

GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

パソコンで動く★ 244MIT10 日前更新

インストール

BibiGPT YouTube Video Summarizer

作者：JimmyLv

AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.

クラウドで動く★ 137MIT10 日前更新

インストール

作者のREADME

READMEを開く

作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。

Kuudo Amazon Ads MCP Server

The open-source Amazon Ads MCP server from [Kuudo](https://www.kuudo.com/), also published as the Amazon Ads API MCP SDK

*Made with ❤️ + ☕ by Kuudo, an Openbridge company*

MCP registry id (for clients and catalogs that display a stable package name): io.github.KuudoAI/amazon_ads_mcp

Kuudo's Amazon Ads MCP server gives Claude, ChatGPT, Cursor and any MCP client 711 Amazon Ads API operations across 53 services: Sponsored Products, Sponsored Brands, Sponsored Display, Sponsored TV, Amazon DSP and Amazon Marketing Cloud, with read and write tools. It is MIT-licensed. Run it yourself, or have Kuudo run it in your own AWS, Google Cloud, Azure or Cloudflare account.

Kuudo · Amazon Ads MCP · Tool reference · Compare Amazon Ads MCP servers

Questions this server answers
Where this fits in Kuudo
What are MCP tools?
What is Amazon Ads API MCP SDK?
Quick start
Installation
Configuration (auth, packages, profiles, regions)
Downloading reports and exports
Example MCP client (Claude Desktop)
Context limits
Code mode
Tool audit
Background tasks
Frequently asked
Troubleshooting
Documentation map

Questions this server answers

Which MCP server connects Claude or ChatGPT to Amazon Ads, including DSP and Amazon Marketing Cloud?

Kuudo's Amazon Ads MCP covers all three in one server: Sponsored Products, Brands, Display and TV, Amazon DSP, and Amazon Marketing Cloud, 711 Amazon Ads API operations across 53 services, with read and write tools. It works from Claude, ChatGPT, Cursor and any other MCP client. See how it compares with the other Amazon Ads MCP servers: kuudo.com/compare/amazon-ads-mcp-servers.

Can I self-host an Amazon Ads MCP server in my own AWS or GCP account?

Yes. This server is MIT-licensed and runs from Docker or Python on infrastructure you control. Kuudo also provisions it, with the Selling Partner and Vendor Central servers, into your own AWS, Google Cloud, Azure or Cloudflare account, where Amazon requests go from your cloud directly to Amazon: self-host Kuudo in your own cloud.

Does it cover Seller Central and Vendor Central too?

This repository is the Amazon Ads server. Kuudo runs companion MCP servers for Seller Central (listings, inventory, orders, pricing, fulfillment and reports) and Vendor Central (purchase orders, shipments, invoices and Retail Analytics), and one AI client can use all three at once.

Can an agency run it across many client accounts?

Yes, through Kuudo. Each client authorizes its Amazon Ads account once through a time-limited invitation, with no login shared, and one connection then reaches every account and advertising profile the agency is authorized for: how account authorization works.

How is it different from Amazon's own Ads MCP Server?

Amazon's Ads MCP Server is hosted by Amazon and in open beta for Amazon Ads partners with active API credentials. This server is open source, runs where you choose, and works with your own Amazon Ads app or a partner token. The side-by-side, with every source dated: Amazon Ads MCP Server vs Kuudo.

Where this fits in Kuudo

This repository is the tool layer of a broader Amazon agent platform. Kuudo gives Amazon agents tools, knowledge, workflows, and a place to work. This repository is the tools.

Layer	What it provides	Where
MCP servers	The tools an agent calls: Amazon Ads here, plus Selling Partner and Vendor Central	this repo, and the MCP tool reference
Skills	The higher-level workflows: reusable, versioned, multi-step Amazon procedures that compose these tools and wait for a human before anything goes live	Amazon Agent Skills
Agent Atlas	The knowledge: indexed Amazon operating knowledge across Ads, Seller Central, and Vendor Central, answered with citations	Amazon Agent Atlas
Agent Flow	The place to work: your Amazon data landed in your own cloud, so an agent answers with real figures instead of guessing	Amazon Agent Flow

Read this repository as one layer of that platform rather than as the whole of it. The operations below are what an agent can call; Skills are what it runs.

What Are MCP Tools?

Think of MCP (Model Context Protocol) as a translator between an AI model and outside systems (like Amazon Ads). Each MCP tool is like a remote control button that tells the AI how to interact with Amazon Ads. Without MCP tools, the AI would have no idea how to “talk” to Amazon Ads.

With MCP tools:

The AI knows the exact endpoints to call.
The AI can request campaign reports, budgets, or targeting data safely.
Everything is structured, so the AI doesn’t break things by making random guesses.

👉 In short: MCP tools = a safe, well-labeled toolkit that lets AI work with the Amazon Ads API.

🚀 What is Amazon Ads API MCP SDK?

The Amazon Ads API MCP SDK is an open-source implementation that provides a robust foundation for creating AI-powered advertising tools, chatbots, and automated services.

✨ Key Features

🔌 MCP Integration: Full Model Context Protocol compliance for AI application integration
🌍 Multi-Region Support: NA, EU, and FE region endpoints with automatic routing
📊 Comprehensive API Coverage: Campaigns, profiles, reporting, DSP, AMC workflows, and more
📝 Type Safety: Full Pydantic model support with comprehensive type hints
🧪 Production Ready: Includes testing, validation, and error handling

🎯 Use Cases

Claude Desktop Integration

Campaign Management: Ask Claude to create, update, or analyze campaigns
Performance Insights: Get AI-powered analysis of your advertising performance
Budget Optimization: Let Claude suggest budget adjustments based on performance
Creative Testing: Get recommendations for ad creative improvements
Reporting: Generate custom reports and insights on demand

AI Applications

Marketing Chatbots: Build conversational AI that can manage Amazon Ads campaigns
Automated Reporting: AI-powered insights and performance analysis
Smart Budget Management: Intelligent budget optimization using AI
Creative Optimization: AI-driven ad creative testing and optimization

Enterprise Services

Marketing Automation Platforms: Integrate Amazon Ads into existing marketing tools
Agency Management Systems: Multi-client, multi-account advertising management
E-commerce Integrations: Connect Amazon Ads with e-commerce platforms
Analytics Dashboards: Real-time advertising performance monitoring

Developer Tools

API Wrappers: Create custom SDKs for specific use cases
Testing Frameworks: Automated testing for Amazon Ads integrations
Development Tools: Local development and debugging utilities

Why this Ads MCP is different

Other Amazon Ads MCPs do happy path. They fall apart the moment an agent makes a reasonable mistake and Amazon's Ads API has more reasonable mistakes than almost any other large API surface. The v1 reporting catalog uses a different vocabulary than v3. The docs are scattered across migration generations. The same field can have three plausible names depending on which tutorial an agent or human was trained on.

You've felt this before

You know the symptoms even if you've never thought of them as a single problem:

"Compacting conversation…" right when you were getting somewhere
"Usage limit reached" mid-task, with nothing to show for the tokens
"Context window exceeded" start over, re-explain everything
The agent quietly forgetting the fix it figured out three turns ago
Five tool calls, four of them retries, none of them progress
Re-pasting the same error into the chat for the third time

That's not the model being dumb. That's the API surface burning context vague errors trigger thrashing, thrashing fills the window, the window fills and everything useful gets evicted. Anywhere from 4 to 12 round-trips for an agent: wrong field names, wrong body shape, wrong filter operator, wrong date placement, wrong advertiser-account format.

Here, the wrong moves return the right move

This server is built around a different premise: the error surface is the documentation surface. Every failure is a teaching opportunity, and the server is engineered to make the next attempt smarter than the last one, for the same agent or the next one, without retraining, prompt updates, or memory tricks.

The server tells you what went wrong, and *why* you got it wrong
Every failure converts to a corrective action — the model just reads the hint and moves on
A five-tool-call debugging arc collapses into a two-call corrected one
The same mistake a week later doesn't re-burn context, because the validator, alias table, and deprecated-shape table are still right there
No out-of-context tribal knowledge to forget

Every failure is cheaper than the last. Every agent learns from the same authoritative source. Every retry has direction. That compounding is what a smart agent solution looks like in practice.

Everything is an edge case, you can help

We won't catch every edge case. Amazon's API surface is enormous, the migration history is messy, and real-world failures get more creative than anything anyone can anticipate. What we're committing to is the strategy that errors should teach, that documentation should live in the surfaces agents actually touch, that every wrong move should make the next move easier.

If you hit a failure where the envelope didn't help; vague hint, wrong suggestion, no hint at all, that's exactly the feedback we want. Open an issue, paste the envelope, tell us what you expected. The strategy is only as good as the cases it covers.

Quick start

Prerequisites: Docker (recommended), Python 3.10+ if you run from source, and Amazon Ads API access (your own developer app or a partner such as Openbridge).

git clone https://github.com/KuudoAI/amazon-ads-mcp.git && cd amazon-ads-mcp
cp .env.example .env and add credentials (see Configuration).
`docker compos

冒頭だけを表示しています。続きはリポジトリで読めます

Amazon Ads MCP

概要

PopNx MCPの3つの柱

できること

インストール

インストールの前に

自分で入力する値

できること

基本チェックi

作者とリポジトリが一致

今もメンテナンスされている

ライセンスがある

エンドポイントが応答する

OAuthでサインイン

ツールの説明に隠れた指示がない

マーケティング・SNSのほかのサーバーとの比較i

よくある質問

代わりの候補

MCP YouTube Transcript

Google Analytics MCP

BibiGPT YouTube Video Summarizer

作者のREADME

Kuudo Amazon Ads MCP Server

Table of contents

Questions this server answers

Which MCP server connects Claude or ChatGPT to Amazon Ads, including DSP and Amazon Marketing Cloud?

Can I self-host an Amazon Ads MCP server in my own AWS or GCP account?

Does it cover Seller Central and Vendor Central too?

Can an agency run it across many client accounts?

How is it different from Amazon's own Ads MCP Server?

Where this fits in Kuudo

What Are MCP Tools?

🚀 What is Amazon Ads API MCP SDK?

✨ Key Features

🎯 Use Cases

Claude Desktop Integration

AI Applications

Enterprise Services

Developer Tools

Why this Ads MCP is different

You've felt this before

Here, the wrong moves return the right move

Everything is an edge case, you can help

Quick start