INDIVIDUAL MCP TOOL

amzscout_usage

The caller's AMZScout AI-agents token balance — remaining, used, and limit.

amzscout.netnone authenticationAvailability not checked

LIVE ENDPOINT

https://chatbot.amzscout.net/mcp

No auth detected

Connect to this endpoint to inspect the live schema for amzscout_usage and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.amzscout-tools]
url = "https://chatbot.amzscout.net/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "amzscout-tools": {
      "type": "http",
      "url": "https://chatbot.amzscout.net/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: amzscout-tools
Remote MCP URL: https://chatbot.amzscout.net/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "amzscout-tools": {
      "url": "https://chatbot.amzscout.net/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "amzscout-tools": {
      "type": "http",
      "url": "https://chatbot.amzscout.net/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "amzscout-tools",
  "transport": "streamable-http",
  "url": "https://chatbot.amzscout.net/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

amzscout_analyze_product — Full raw data for a single Amazon product by ASIN — price, estimated sales/revenue, reviews, rating, listing quality, sellers, plus sales/price/revenue history when available.
amzscout_analyze_niche — Market snapshot for an Amazon niche/keyword — top products by revenue plus computed aggregates (price/sales/revenue/review distributions, revenue concentration, brand spread).
amzscout_compare_products — Side-by-side raw data for 2–5 Amazon products by ASIN — price, sales/revenue estimates, reviews, listing quality, plus history when available.
amzscout_compare_niches — Raw head-to-head data for 2–5 Amazon niches / category keywords — per-niche product sets plus computed aggregates (price/sales/revenue distributions, revenue concentration, brand spread).
amzscout_analyze_product_set — Raw data across an explicit set of 2–100 ASINs — product rows plus computed aggregates (price/sales/revenue/review distributions, revenue concentration, brand spread).
amzscout_search_products — Keyword search against Amazon — returns the top N products with price, sales, revenue, reviews, rating.
amzscout_find_by_brand — List products under a specific Amazon brand.
amzscout_get_keywords — Amazon keyword / SEO / PPC data for either a single product (ASIN-scope — terms the product ranks for) or a niche/category (keyword-scope — search data around the term).