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MCP server for Keepa Amazon price and sales rank history API
MCP server for Keepa Amazon price and sales rank history API
This is a well-structured MCP server for the Keepa Amazon price API with solid security practices. The code properly manages API key credentials via environment variables, implements appropriate input validation using Zod, and has no malicious patterns or dangerous operations. Permissions align well with the server's purpose (network access to Keepa API, environment variable usage for credentials). Minor code quality observations exist but do not pose security risks. Supply chain analysis found 5 known vulnerabilities in dependencies (2 critical, 3 high severity). Package verification found 1 issue.
7 files analyzed · 10 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: KEEPA_API_KEY
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-purahmanian-keepa-mcp": {
"env": {
"KEEPA_API_KEY": "your-keepa-api-key-here"
},
"args": [
"-y",
"keepa-mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
Amazon price and sales-rank history for your AI assistant, via the Keepa API.
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.
| Tool | Description | Example prompt |
|---|---|---|
get_product | Title, brand, category, current prices, buy box, review count and rating | "What is the current Amazon price and rating for ASIN B08N5WRWNW?" |
get_price_history | Decoded 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_history | Sales rank over time plus a demand trend summary | "Is demand trending up or down for B07PXGQC1Q?" |
search_products | Keyword product search, returns matching ASINs | "Find ASINs for 'wireless earbuds' on Amazon" |
get_best_sellers | Top ASINs in a Keepa category | "What are the best sellers in Electronics?" |
get_deals | Current price-drop deals filtered by drop % and rating | "Show deals with at least 30% off and 4.5 stars" |
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 mcp add keepa -e KEEPA_API_KEY=your_key -- npx -y keepa-mcp
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"
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 tokenget_product (with history): 1-10 tokens depending on data depthget_best_sellers: 50-100 tokens per requestget_deals: 5-25 tokens per pageIf you hit the quota, the tool returns a clear error message and you can retry after the bucket refills.
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.
# 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
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 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
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
MIT. See LICENSE.
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