Amazon Seller & Brand Intel - MCP Server
Pricing
$5.00 / 1,000 mcp tool calls
Amazon Seller & Brand Intel - MCP Server
MCP server for amazon-seller-intel. AI-agent tools for Amazon seller records, product offers, brand audits, and modeled sales estimates. x402 (USDC on Base) and Skyfire agentic-payment ready. For brand owners, agencies, and e-commerce investors.
Pricing
$5.00 / 1,000 mcp tool calls
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Seibs.co
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Model Context Protocol (MCP) server wrapper for amazon-seller-intel. Gives AI agents direct, pay-per-call access to Amazon seller profiles, Buy Box / offer maps, brand-to-seller audits, and BSR-based sales estimates - no API token required when called over x402 / Skyfire.
What it is
A thin MCP server that exposes the seller-intelligence engine as four typed tools an AI agent can call. Each tool runs the upstream amazon-seller-intel actor live and reshapes the result into small, deterministic JSON (no raw HTML). Built for brand-protection copilots, distributor-vetting agents, PL-research bots, and e-commerce intelligence workflows.
Heads up: each tool call triggers a live upstream Amazon run over residential proxy (Amazon blocks datacenter traffic). Expect 1-3 minutes and some residential bandwidth per call. That bandwidth is the dominant cost - see Pricing.
Tools
| Tool | What it does |
|---|---|
get_seller_profile | One seller's public profile by seller id or storefront URL: display name, published business name + address (when shown), rating percentages, ratings count, Just-Launched flag, storefront link. |
get_asin_offers | Product summary + the All-Offers-Display offer map for one ASIN (seller, price + shipping, condition, FBA/FBM/AMZ, Buy Box flag). The summary sentence names who holds the Buy Box. |
estimate_asin_sales | ONLY the BSR-based sales estimate for one ASIN: a monthly unit-sales band, a revenue band, a confidence, the methodology, and the caveats. A modeled estimate, not measured sales. |
audit_brand | The brand-protection roll-up: distinct sellers + estimated share, price dispersion, Buy-Box control %, total estimated monthly sales band over the sampled products. |
All tools take an optional marketplace of com (default), co.uk, de, or ca.
Run modes
list_tools- emit the tool catalog (free, no charge) including the agentic-payment descriptor.call_tool- invoke one tool. Requirestool+args.batch- invoke up to 10{tool, args}calls in one run.
{"mode": "call_tool","tool": "get_asin_offers","args": { "asin": "B07ZPKBL9V", "marketplace": "com", "max_offers": 10 }}
Agentic payments (x402 + Skyfire)
This server is x402 (USDC on Base) and Skyfire ready. When the operator enables Apify MCP monetization, an AI agent can pay per tool call with no pre-provisioned API token. The list_tools response includes a payments descriptor advertising the accepted rails and per-call price. Operators enable rails via environment variables:
| Env | Purpose |
|---|---|
X402_ENABLED | 1 to advertise x402 acceptance |
X402_PAY_TO_ADDRESS | receiving wallet (USDC on Base) |
X402_PRICE_USD | per-call price advertised (default 0.005) |
SKYFIRE_ENABLED | 1 to advertise Skyfire acceptance |
SKYFIRE_SELLER_ID | Skyfire seller identity |
Calls through Apify always bill via standard PPE (mcp_tool_call $0.005 + upstream pass-through); x402/Skyfire are the token-less rails layered on top for direct agents.
Pricing
Flat $0.005 per MCP tool call, plus the upstream amazon-seller-intel PPE pass-through billed to the same run:
| Upstream event | Price |
|---|---|
seller_record | $0.012 |
product_offer_record | $0.005 (one per kept offer) |
sales_estimate_enrichment | $0.010 |
brand_audit_record | $0.015 |
Each tool call runs a live Amazon fetch over residential proxy; that residential bandwidth is the dominant cost driver, not the PPE events. A run that returns nothing costs nothing.
Responsible use / data scope
The upstream actor reads only logged-out, public Amazon pages - no accounts, no cookies, no login, no paywall bypass. It returns business firmographics (a seller's published legal name and business address, ratings, offer and Buy-Box data) and never harvests personal contact data (emails, phones). Sales figures are modeled estimates from public Best Sellers Rank, not measured unit sales - treat the band, not the midpoint, as the answer, and never present an estimate as a measurement. You are responsible for lawful, ToS-compliant use of the outputs.
Related Actors
- amazon-seller-intel - the non-MCP actor with full input controls, monitor mode, and CSV/HTML artifacts.
- mcp-hiring-signal-intel - the same MCP pattern for live hiring-signal intelligence.
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Changelog
See ./CHANGELOG.md.