DataDoe MCP server

Amazon Seller MCP Server - DataDoe

Hosted Amazon Seller Central & Vendor Central MCP server with read and write access. Connect Claude, ChatGPT, Cursor, Codex, Gemini, and GitHub Copilot to live Amazon SP-API and Amazon Ads API data, then let your AI agent act on it: update listings, manage orders, and optimize Amazon Ads campaigns. DataDoe handles the SP-API developer approval, OAuth, and rate limits so your AI agent starts working in under a minute.

🔗 Start a free trial · 📘 Documentation · ⚡ Actions · 📊 Amazon data schema · 🎥 Video demo

🚀 Quick start

1. Sign up at DataDoe and connect your Amazon Seller Central or Vendor Central account.
2. Create a DataDoe MCP API key in DataDoe MCP Integrations.
3. Paste the config below into your AI client (Claude, Cursor, Codex, Gemini, GitHub Copilot, ChatGPT, or any MCP-capable tool):

{
     "mcpServers": {
       "datadoe": {
         "url": "https://mcp.datadoe.com/mcp/v1",
         "headers": {
           "datadoe-mcp-key": "<YOUR_DATADOE_MCP_KEY>"
         }
       }
     }
   }

1. Ask your AI agent: "Show my top 10 ASINs by revenue last month across all Amazon marketplaces."

That's it. DataDoe runs the MCP server on hosted infrastructure, so your team doesn't need to deploy anything locally or wait for Amazon SP-API developer approval.

What is DataDoe MCP?

DataDoe MCP is a hosted Model Context Protocol (MCP) server for Amazon sellers, vendors, and agencies. It exposes your live Amazon Selling Partner API (SP-API) and Amazon Ads API data through MCP tools that work with Claude, ChatGPT, Cursor, Codex CLI, Gemini CLI, GitHub Copilot, Claude Desktop, n8n, NanoClaw, and any other MCP-capable client.

DataDoe MCP gives your AI agent two layers over your Amazon account:

• A read layer - SKU-level orders, sales, ads spend, traffic, inventory, listings, returns, settlements, brand analytics, and catalog, returned as structured tool responses or downloadable CSV and JSON exports.
• A write layer (Actions) - your agent can change your Amazon account through the SP-API and Amazon Ads API: update listings, cancel orders, confirm shipments, and manage Amazon Ads campaigns, ad groups, targets, and ads.

Building your own Amazon SP-API integration typically requires SP-API developer registration, OAuth refresh-token flow, marketplace-specific endpoints, throttling logic, and 2-4 weeks of Amazon approval. DataDoe takes care of all of that. You get a single authenticated MCP URL for both reading and acting on your Amazon data.

Shortened. The full README is on GitHub.