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Keepa Mcp

purahmanian/keepa-mcp
authSTDIOregistry active
Summary

Wraps the Keepa API to give Claude access to Amazon pricing, sales rank, and product data. Six tools cover the essentials: pull current prices and ratings, decode historical price charts, track demand trends via sales rank time series, search by keyword, fetch category best sellers, and filter live deals by discount depth and rating. Useful if you're automating product research, validating price drops, or scanning categories for opportunities without switching to a browser. Runs locally via stdio, requires a Keepa API key. The free tier gives you 100 tokens per minute; basic product lookups cost one to five tokens, while best seller and deal queries burn more.

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Configuration

KEEPA_API_KEY*secret

Keepa API key (https://keepa.com/#!api)

Categories
Sales & Marketing
Registryactive
Packagekeepa-mcp
TransportSTDIO
AuthRequired
UpdatedJun 6, 2026
View on GitHub

keepa-mcp

Amazon price and sales-rank history for your AI assistant, via the Keepa API.

CI npm


Unofficial package. keepa-mcp is not affiliated with, endorsed by, or supported by Keepa GmbH. "Keepa" and "Amazon" are trademarks of their respective owners. This is an independent open-source client for the publicly documented Keepa API.


What it does

ToolDescriptionExample prompt
get_productTitle, brand, category, current prices, buy box, review count and rating"What is the current Amazon price and rating for ASIN B08N5WRWNW?"
get_price_historyDecoded price time series for Amazon, new, used, and buy-box prices"Show me the price history for B08N5WRWNW over the past year"
get_sales_rank_historySales rank over time plus a demand trend summary"Is demand trending up or down for B07PXGQC1Q?"
search_productsKeyword product search, returns matching ASINs"Find ASINs for 'wireless earbuds' on Amazon"
get_best_sellersTop ASINs in a Keepa category"What are the best sellers in Electronics?"
get_dealsCurrent price-drop deals filtered by drop % and rating"Show deals with at least 30% off and 4.5 stars"

Quick start

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "keepa": {
      "command": "npx",
      "args": ["-y", "keepa-mcp"],
      "env": {
        "KEEPA_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

Claude Code

claude mcp add keepa -e KEEPA_API_KEY=your_key -- npx -y keepa-mcp

OpenAI Codex CLI

Add to ~/.codex/config.toml:

[mcp_servers.keepa]
command = "npx"
args = ["-y", "keepa-mcp"]

[mcp_servers.keepa.env]
KEEPA_API_KEY = "YOUR_API_KEY_HERE"

Getting a Keepa API key

Sign up at https://keepa.com/#!api to get your API key.

The free tier provides 100 tokens per minute. Each product data request costs tokens proportional to the data retrieved (history length, number of offers, etc.). Typical product lookups cost 1-5 tokens; best-seller lists and deals cost more. See the Keepa API docs for the full token cost table.

Token economics at a glance:

  • get_product (no history): 1 token
  • get_product (with history): 1-10 tokens depending on data depth
  • get_best_sellers: 50-100 tokens per request
  • get_deals: 5-25 tokens per page
  • Free tier refills at 100 tokens/minute

If you hit the quota, the tool returns a clear error message and you can retry after the bucket refills.


Example conversations

1. Product research

"Look up B08N5WRWNW, then show me the last 6 months of price history and tell me whether demand has been growing."

The assistant calls get_product, then get_price_history with range="6m", then get_sales_rank_history with range="6m", and synthesises a verdict.

2. Category opportunity scan

"Pull the top 20 best sellers in Electronics (category 172282), then get current details and sales rank trends for the first three."

The assistant calls get_best_sellers, then get_product and get_sales_rank_history for the first three ASINs, and summarises the demand signals.

3. Deal hunting

"Find highly-rated Amazon deals with at least 25% off, then show me the price history for the top result to confirm it is a genuine dip."

The assistant calls get_deals with min_price_drop_pct=25, min_rating=45, picks the top ASIN, then calls get_price_history with range="6m" to validate the claimed price drop against historical data.


Development

# Install dependencies
npm install

# Run tests (no live HTTP; all upstream calls are mocked)
npm test

# Build TypeScript to dist/
npm run build

# Start the server (requires KEEPA_API_KEY in environment)
KEEPA_API_KEY=your_key node dist/index.js

Project structure

src/
  index.ts                 # Server entry point, tool registration
  constants.ts             # API base URL, Keepa time offset, limits
  types.ts                 # TypeScript interfaces
  services/
    keepa-client.ts        # Fetch wrapper, time utilities, history decoder
  tools/
    get-product.ts
    get-price-history.ts
    get-sales-rank-history.ts
    search-products.ts
    get-best-sellers.ts
    get-deals.ts
tests/
  keepa-client.test.ts     # Unit tests for time conversion and history decoding
  tools.test.ts            # Integration tests with mocked fetch + fixture JSON
  fixtures/                # Realistic Keepa response shapes

Built by

Built by Puya Ventures LLC. I build custom MCP servers and AI integrations for product-research, e-commerce, and SaaS teams. Get in touch: purahmanian@gmail.com | Portfolio: puyarahmanian.com

Part of the Product-Research MCP Suite: keepa-mcp · google-trends-mcp · junglescout-mcp


Privacy

This server runs entirely on your machine. It collects no telemetry and stores no data. The only network calls it makes are to the Keepa API (api.keepa.com), sending your API key and the ASINs, keywords, or category ids you ask about. Your API key is read from the KEEPA_API_KEY environment variable and never written to disk or sent anywhere except Keepa. See Keepa's privacy policy: https://keepa.com/#!privacy

License

MIT. See LICENSE.

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