claude mcp add amazon-in-mcp -- npx -y amazon-in-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
9 ★ · justadityaraj/amazon-in-mcp · read from the GitHub search API · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 9 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository justadityaraj/amazon-in-mcp;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
An MCP server that lets your LLM shop on Amazon.in. Cheapest in-stock listing. Best-value pick. Price history. No paid APIs. --- What it does Three tools your LLM can call against amazon.in: | Tool | What it returns | |---|---| | search_amazon_in(query, max_results=5, page=1) | Ranked listings + two convenience picks: **cheapest in stock** and **best value** (rating × log10(reviews) / √price). page fetches deeper result pages. | | get_product(asin_or_url) | Full product detail — price, MRP, discount, rating, reviews, stock, bullets, brand, seller, delivery | | price_history_link(asin_or_url) | A Keepa.com chart URL for the amazon.in domain. No network call. | No API keys. No accounts. Runs locally over stdio. Direct HTML scraping with rotating user agents and retry on bot-check pages. --- Quick start **1. Install** (Claude Code): **2. Restart your MCP client** (Claude Code, Cursor, Claude Desktop, etc.) **3. Ask:** > *"Find me a good 1TB external SSD on amazon.in under ₹10,000. Best value pick."* Your LLM will call search_amazon_in, rank by value, and hand back a real product with current price and a Keepa link for price history. --- What it looks like A real call to search_amazon_in("wireless mouse", max_results=3) returns: get_product adds bullets[], brand, seller, discount_percent, availability. --- Configure your MCP client Claude Code Claude Desktop Edit ~/Library/Application Support/Claude/claude_desktop_config.json: Cursor / Windsurf / others Same JSON config as Claude Desktop. Drop it into the client's MCP settings file. --- Configuration All optional. Set these in the env block of your MCP client config; defaults preserve the original behavior. | Env var | Default | Purpose | |---|---|---| | AMAZON_IN_AFFILIATE_TAG | artech-21 | Amazon Associates tag on emitted URLs. none / off / "" disables. See funding. | | AMAZON_IN_CACHE_TTL_MS | 90000 | Lifetime of the in-memory page cache (ms). 0 disables caching. | | AMAZON_IN_PROXY | _unset_ | HTTP/HTTPS proxy URL for all requests, e.g. http://user:pass@host:8080. | Example — route through a proxy and shorten the cache to 30 s: --- Automatic routing (no need to say "use the Amazon MCP") Once installed, the server tells your client to reach for these tools on its own. It ships MCP **server instructions** (returned in the initialize handshake) that instruct the model to use search_amazon_in / get_product by default for any amazon.in shopping, price, availability, or reviews question — including when you just paste an amazon.in link or an ASIN. The tool descriptions carry the same trigger keywords as a fallback for clients that read tool descriptions but not server instructions. So you can ask "find me a mechanical keyboard under 3000" or paste a product link and the client routes to this server without you naming it. Note this is model-level guidance surfaced by the host (Claude Code, Claude Desktop, Cursor, …), not a hard protocol guarantee — a client that ignores server instructions and tool descriptions won't be forced to route. --- Image search The server intentionally doesn't accept image input — keeps it provider-agnostic. Instead, paste the image into your LLM client, ask it to describe the product, and it'll call search_amazon_in with the right keywords automatically. Works the same in every MCP-capable client.