npm amazon-in-mcp-serverstdioMITupdated 1mo ago
An MCP server that lets your LLM shop on Amazon.in. Cheapest in-stock listing. Best-value pick. Price history. No paid APIs.
What can you do with Amazon in MCP Server?
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 Γ log10(reviews) / βprice). page fetches deeper result pages. |
get_product(asin_or_url) |
Full product detail β 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):
git clone https://github.com/justadityaraj/amazon-in-mcp.git
cd amazon-in-mcp && npm install && npm run build
claude mcp add amazon-in -- node "$PWD/dist/index.js"
2. Restart your MCP client (Claude Code, Cursor, Claude Desktop, etc.)
3. Ask:
"Find me a good 1TB external SSD on amazon.in under βΉ10,000. 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:
{
"query": "wireless mouse",
"page": 1,
"total_results": 3,
"results": [
{
"asin": "B0CQRNWJM2",
"title": "ZEBRONICS Blanc Slim Wireless Mouse...",
"url": "https://www.amazon.in/dp/B0CQRNWJM2?tag=artech-21",
"price_inr": 423,
"mrp_inr": 799,
"rating": 4.0,
"review_count": 7801,
"in_stock": true,
"delivery": "FREE delivery Tomorrow",
"price_history_url": "https://keepa.com/#!product/12-B0CQRNWJM2"
}
],
"cheapest_in_stock": { "asin": "...", "price_inr": 199, "...": "..." },
"best_value": { "asin": "...", "rating": 4.3, "...": "..." }
}
get_product adds bullets[], brand, seller, discount_percent, availability.
Configure your MCP client
claude mcp add amazon-in -- node /absolute/path/to/amazon-in-mcp/dist/index.js
Edit ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"amazon-in": {
"command": "node",
"args": ["/absolute/path/to/amazon-in-mcp/dist/index.js"]
}
}
}
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 β route through a proxy and shorten the cache to 30 s:
{
"mcpServers": {
"amazon-in": {
"command": "node",
"args": ["/path/to/dist/index.js"],
"env": {
"AMAZON_IN_PROXY": "http://user:pass@proxy.example:8080",
"AMAZON_IN_CACHE_TTL_MS": "30000"
}
}
}
}
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 β 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, β¦), not a hard protocol guarantee β 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 β 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.
How "best value" is scored
Among in-stock listings with at least 10 reviews:
$$ \text{score} = \frac{\text{rating} \times \log_{10}(\text{reviews} + 10)}{\sqrt{\text{price}}} $$
The highest score wins. cheapest_in_stock is just the lowest price_inr among in-stock items β useful when you want raw cheapness instead of balance.
Robustness
| UA rotation | 5 modern desktop UAs (Chrome / Safari / Firefox on Mac / Win / Linux) |
| Retries | 3 attempts, exponential backoff on 5xx, 429, and bot-check pages |
| Bot detection | Scans first 8 KB for known CAPTCHA / robot markers |
| Timeout | 20 s per request |
| Caching | Successful pages cached in memory for 90 s (per URL) to skip duplicate fetches; tune with AMAZON_IN_CACHE_TTL_MS, 0 disables |
| Proxy | Optional β set AMAZON_IN_PROXY to route requests through an HTTP/HTTPS proxy when a datacenter IP is blocked |
| State | None persisted. Stdio, no cookies, no session β the cache is a short-lived, in-process buffer only |
Expect ~1β5% of requests to fail with a bot-check during heavy use. Wait 30β60 seconds and retry, run from a different network, or set AMAZON_IN_PROXY.
How this project is funded
By default, amazon.in URLs returned by this server include the author's Amazon Associates tag (artech-21). If you (or your LLM) click through and buy something, the author earns a small commission. You pay the same price. This is the only way the project stays free, MIT, and actively maintained.
Override or disable anytime with the AMAZON_IN_AFFILIATE_TAG env var:
| Value | Behavior |
|---|---|
| unset | Author's tag (artech-21) β supports the project |
yourtag-21 |
Your own Amazon Associates tag |
none / off / false / "" |
No tag, raw amazon.in URLs |
Example β your own tag:
{
"mcpServers": {
"amazon-in": {
"command": "node",
"args": ["/path/to/dist/index.js"],
"env": { "AMAZON_IN_AFFILIATE_TAG": "yourtag-21" }
}
}
}
Roadmap
- Publish to npm so install becomes
npx -y amazon-in-mcp-server - Optional Keepa API support (user-supplied key) for real price-history data
- Filter helpers β
min_rating,min_reviews,under_price - Smoke-test suite with cached HTML fixtures
Development
npm install
npm run dev # tsx watch
npm run build # tsc β dist/
npm start # node dist/index.js
Test interactively with the MCP Inspector:
npx @modelcontextprotocol/inspector node dist/index.js
Project layout:
src/
index.ts # MCP server + 3 tool registrations
scraper.ts # fetch with UA rotation, retry, bot-check, proxy, cache
parse.ts # cheerio selectors for search + product pages
cache.ts # in-memory TTL + LRU cache
constants.ts # UAs, headers, tuning constants, affiliate/proxy/cache config
types.ts # SearchResultItem, ProductDetail
Disclaimer
Fetches publicly accessible amazon.in pages for personal research and assistant use. Does not bypass authentication, paywalls, or CAPTCHAs β when Amazon serves a bot-check the tool stops and reports the error.
You are responsible for using this in line with Amazon's Terms of Service and any local laws. No warranty about uptime, accuracy, or fitness for any purpose. DOM selectors are best-effort and may break when Amazon updates its layout. PRs welcome.
License
MIT Β© Aditya Raj Singh
Issues, bug reports, and selector fixes welcome β Amazon's DOM shifts every few months, so this will break occasionally and need community help to keep current.
Install
Add Amazon in MCP Server to your client. Pick the one you use.
claude mcp add amazon-in-mcp-server -- npx -y amazon-in-mcp-servercodex mcp add amazon-in-mcp-server -- npx -y amazon-in-mcp-serveramp mcp add amazon-in-mcp-server -- npx -y amazon-in-mcp-server{
"mcpServers": {
"amazon-in-mcp-server": {
"command": "npx",
"args": [
"-y",
"amazon-in-mcp-server"
]
}
}
}Add to `claude_desktop_config.json`, then restart Claude Desktop.
{
"mcpServers": {
"amazon-in-mcp-server": {
"command": "npx",
"args": [
"-y",
"amazon-in-mcp-server"
]
}
}
}Add to `~/.cursor/mcp.json`, or `.cursor/mcp.json` for a single project.
code --add-mcp '{"name":"amazon-in-mcp-server","command":"npx","args":["-y","amazon-in-mcp-server"]}'Or add the block manually to `.vscode/mcp.json` under `servers`.
{
"mcpServers": {
"amazon-in-mcp-server": {
"command": "npx",
"args": [
"-y",
"amazon-in-mcp-server"
]
}
}
}Add to `~/.codeium/windsurf/mcp_config.json`.
{
"mcpServers": {
"amazon-in-mcp-server": {
"command": "npx",
"args": [
"-y",
"amazon-in-mcp-server"
]
}
}
}Add to `cline_mcp_settings.json` via the MCP Servers panel.
{
"mcpServers": {
"amazon-in-mcp-server": {
"command": "npx",
"args": [
"-y",
"amazon-in-mcp-server"
]
}
}
}Add to `~/.gemini/settings.json`.
{
"mcpServers": {
"amazon-in-mcp-server": {
"type": "local",
"command": "npx",
"args": [
"-y",
"amazon-in-mcp-server"
],
"tools": [
"*"
]
}
}
}Add to `~/.copilot/mcp-config.json`, or run `/mcp add` inside the CLI.
{
"context_servers": {
"amazon-in-mcp-server": {
"command": {
"path": "npx",
"args": [
"-y",
"amazon-in-mcp-server"
]
}
}
}
}Add to your Zed `settings.json`.
npx -y amazon-in-mcp-serverRun `goose configure`, choose **Add Extension β Command-line Extension**, and paste this command.
Score
39 / 100
Incomplete
- Documentation25/25
- Maintenance16/25
- Trust13/20
- Capability0/15
- Install experience12/15
- Documents what it does and how to connect
- Has a resolvable package or endpoint
- Exposes at least one tool, prompt or resource
- README has substantive content
- Includes a code example
- Documents its configuration
- Mentions credentials or security posture
- Last commit 51 days ago
- Has a release history
- Repository is not archived
- Licensed MIT
- Namespace verified in the official MCP registry
- Claimed by its owner
- Published under an organisation
- 0 tool(s) documented
- Provides prompt templates
- Provides resources
- 12 documented install method(s)
- Published to a package registry
- Offers a hosted endpoint β no local install
Version history
| Versions | Published |
|---|---|
| 0.1.1Latest | May 24, 2026 |
| 0.1.0 | May 19, 2026 |