The Canopy API MCP Server gives AI assistants like Claude, ChatGPT, and Cursor real-time access to Amazon product data through the Model Context Protocol (MCP). Power agentic workflows for e-commerce research, competitive intelligence, price tracking, product discovery, and Amazon SEO, all backed by the Canopy API. ▎ Get your API key at [canopyapi.co](https://www.canopyapi.co/) to start querying Amazon product data from any MCP-compatible client. ## Why Canopy API MCP? - Real-time Amazon product data: ASIN lookups, variants, offers, stock, sales estimates, and reviews - Built for AI agents: structured JSON-RPC responses ready for LLM tool use - Streamable HTTP transport at `/mcp`, the current MCP spec convention - Flexible authentication: pass your Canopy API key via `CANOPY-API-KEY`, `API-KEY`, `X-API-KEY`, or `Authorization: Bearer` headers ## Use Cases - Amazon price monitoring and competitive pricing intelligence - Product research agents that compare ASINs, variants, and offers - Review summarization and sentiment analysis pipelines - Sales and stock estimation for sellers and brand managers - Category and bestseller discovery for merchandising and trend analysis - GTIN ↔ ASIN reconciliation for catalog matching and PIM workflows - Amazon SEO research via autocomplete and search-result analysis ## Available MCP Tools ### Product Data - `get_amazon_product`: full product details by ASIN, Amazon URL, or GTIN - `get_amazon_product_variants`: size, color, and style variants - `get_amazon_product_offers`: Buy Box and third-party seller offers - `get_amazon_product_stock`: inventory level estimates - `get_amazon_product_sales`: weekly, monthly, and annual sales estimates - `get_amazon_product_reviews`: top customer reviews - `get_amazon_asin_from_gtin` / `get_amazon_gtin_from_asin`: identifier conversion ### Search & Discovery - `search_amazon_products`: keyword search with filters and sorting - `get_amazon_autocomplete`: Amazon search suggestions, great for keyword research - `get_amazon_deals`: live Amazon deals - `get_amazon_bestsellers` / `get_amazon_bestseller_categories`: bestseller rankings ### Catalog & Entities - `get_amazon_categories`: root category taxonomy - `get_amazon_category`: category details, products, and subcategories - `get_amazon_seller`: seller profiles and listings - `get_amazon_author`: author profiles and book catalogs ## Getting Started 1. Sign up at canopyapi.co to get your API key. 2. Connect any MCP-compatible client, such as Claude Desktop, Cursor, MCP Inspector, or custom agents, to the `/mcp` endpoint. 3. Include your API key in a request header. `CANOPY-API-KEY: <your-key>` is recommended. ```bash curl -X POST https://mcp.canopyapi.co/mcp \ -H "Content-Type: application/json" \ -H "Accept: application/json, text/event-stream" \ -H "CANOPY-API-KEY: $CANOPY_API_KEY" \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' ``` ## Links - 🌐 Canopy API: [canopyapi.co](https://www.canopyapi.co/) - 📚 API Documentation: [Docs](https://docs.canopyapi.co/) - 🔑 Get an API Key: [canopyapi.co](https://www.canopyapi.co/) - 🤖 Model Context Protocol: modelcontextprotocol.io - ⚙️ xmcp framework: xmcp.dev
How to connect
https://server.smithery.ai/canopy-api/amazon-data/mcpcurl -X POST https://server.smithery.ai/canopy-api/amazon-data/mcp \
-H 'Content-Type: application/json' \
-H 'Accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{}}'