Amazon Ads API MCP server for Amazon Advertising API
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"amazon_ads_mcp": {
"env": {
"PORT": "your_server_port",
"HOSTNAME": "your_hostname",
"MCP_TIMEOUT": "120000",
"MCP_TOOL_TIMEOUT": "120000",
"OPENBRIDGE_API_KEY": "your_openbridge_token_here",
"MCP_REQUEST_TIMEOUT": "60000",
"MCP_CONNECTION_TIMEOUT": "10000",
"MCP_SERVER_REQUEST_TIMEOUT": "60000",
"MCP_REQUEST_WARNING_THRESHOLD": "10000"
},
"args": [
"-y",
"mcp-remote@latest",
"http://${HOSTNAME}:${PORT}/mcp/",
"--allow-http",
"--header",
"Authorization:Bearer ${OPENBRIDGE_API_KEY}",
"--header",
"Accept:application/json,text/event-stream",
"--debug"
],
"command": "npx"
}
}
}Are you the author?
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Build AI-powered advertising applications with the Model Context Protocol (MCP) SDK for Amazon Advertising API
No automated test available for this server. Check the GitHub README for setup instructions.
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No known CVEs.
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Build AI-powered advertising applications with the Model Context Protocol (MCP) SDK for Amazon Advertising API
Made with ❤️ + ☕ by Openbridge
MCP registry id (for clients and catalogs that display a stable package name): io.github.KuudoAI/amazon_ads_mcp
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:
👉 In short: MCP tools = a safe, well-labeled toolkit that lets AI work with the Amazon Ads API.
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.