by marketplaceadpros
Fast, secure Amazon Ads MCP server for processing Amazon Marketing Cloud data and optimizing Amazon Advertising performa
Connects to Amazon Advertising data through MarketplaceAdPros integration, providing access to campaigns, reports, and advertising resources. Query Amazon ads data and reports with plain English.
amazon-ads-mcp-server is a community-built MCP server published by marketplaceadpros that provides AI assistants with tools and capabilities via the Model Context Protocol. Fast, secure Amazon Ads MCP server for processing Amazon Marketing Cloud data and optimizing Amazon Advertising performa It is categorized under analytics data.
You can install amazon-ads-mcp-server in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
amazon-ads-mcp-server is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
amazon-ads-mcp-server is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We wired amazon-ads-mcp-server into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
According to our notes, amazon-ads-mcp-server benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
amazon-ads-mcp-server reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
I recommend amazon-ads-mcp-server for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Useful MCP listing: amazon-ads-mcp-server is the kind of server we cite when onboarding engineers to host + tool permissions.
amazon-ads-mcp-server is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
amazon-ads-mcp-server has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: amazon-ads-mcp-server surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Useful MCP listing: amazon-ads-mcp-server is the kind of server we cite when onboarding engineers to host + tool permissions.
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Connect to your Amazon Advertising Data by integrating your account with MarketplaceAdPros.
Provides access to:
Also available as a Streamable HTTP MCP Server by connecting to https://app.marketplaceadpros.com/mcp
To add the amazon-ads-mcp-server to your MCP client of choice, add the following to the server config:
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
BEARER_TOKEN: The Bearer token you got from MarketplaceAdPros.comYou can use it via npx in your Claude Desktop configuration like this:
{
"mcpServers": {
"marketplaceadpros": {
"command": "npx",
"args": [
"@marketplaceadpros/amazon-ads-mcp-server"
],
"env": {
"BEARER_TOKEN": "abcdefghijklmnop"
}
}
}
}
Or, if you clone the repo, you can build and use in your Claude Desktop configuration like this:
{
"mcpServers": {
"marketplaceadpros": {
"command": "node",
"args": [
"/path/to/amazon-ads-mcp-server/build/index.js"
],
"env": {
"BEARER_TOKEN": "abcdefghijklmnop"
}
}
}
}
Or, if your client supports the Streamable HTTP MCP Servers, you can just point to the MCP endpoint at https://app.marketplaceadpros.com/mcp.
{
"mcpServers": {
"marketplaceadpros": {
"type": "streamable-http",
"url": "https://app.marketplaceadpros.com/mcp"
}
}
}
Or, configure in LibreChat like:
MAP:
type: streamable-http
url: https://app.marketplaceadpros.com/mcp
headers:
Authorization: "Bearer abcdefghijklmnop"
Install dependencies:
npm install
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
npm run inspector

The Inspector will provide a URL to access debugging tools in your browser.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.