Amazon-Skills MCP — Use Cases, Install & Live Demo

Why use it

Key features

Keyword research tuned for Amazon A9 (not Google SEO)
Competitor analysis with BSR, review count, price, and listing quality signals
Listing audit — title, bullets, images, A+ content, backend keywords
PPC strategy drafts (Sponsored Products, match types)
Cross-agent: OpenClaw, Claude Code, Cursor, Windsurf, Codex

Live Demo

What it looks like in practice

amazon-skill.replay ▶ ready

0/0

Install

Pick your client

~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "amazon-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/nexscope-ai/Amazon-Skills",
        "~/.claude/skills/Amazon-Skills"
      ],
      "_inferred": true
    }
  }
}

Open Claude Desktop → Settings → Developer → Edit Config. Restart after saving.

~/.cursor/mcp.json · .cursor/mcp.json

{
  "mcpServers": {
    "amazon-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/nexscope-ai/Amazon-Skills",
        "~/.claude/skills/Amazon-Skills"
      ],
      "_inferred": true
    }
  }
}

Cursor uses the same mcpServers schema as Claude Desktop. Project config wins over global.

VS Code → Cline → MCP Servers → Edit

{
  "mcpServers": {
    "amazon-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/nexscope-ai/Amazon-Skills",
        "~/.claude/skills/Amazon-Skills"
      ],
      "_inferred": true
    }
  }
}

Click the MCP Servers icon in the Cline sidebar, then "Edit Configuration".

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "amazon-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/nexscope-ai/Amazon-Skills",
        "~/.claude/skills/Amazon-Skills"
      ],
      "_inferred": true
    }
  }
}

Same shape as Claude Desktop. Restart Windsurf to pick up changes.

~/.continue/config.json

{
  "mcpServers": [
    {
      "name": "amazon-skill",
      "command": "git",
      "args": [
        "clone",
        "https://github.com/nexscope-ai/Amazon-Skills",
        "~/.claude/skills/Amazon-Skills"
      ]
    }
  ]
}

Continue uses an array of server objects rather than a map.

~/.config/zed/settings.json

{
  "context_servers": {
    "amazon-skill": {
      "command": {
        "path": "git",
        "args": [
          "clone",
          "https://github.com/nexscope-ai/Amazon-Skills",
          "~/.claude/skills/Amazon-Skills"
        ]
      }
    }
  }
}

Add to context_servers. Zed hot-reloads on save.

claude mcp add amazon-skill -- git clone https://github.com/nexscope-ai/Amazon-Skills ~/.claude/skills/Amazon-Skills

One-liner. Verify with claude mcp list. Remove with claude mcp remove.

Use Cases

Real-world ways to use Amazon-Skills

How to do Amazon keyword research for a new listing

👤 Sellers launching a product and needing a keyword map ⏱ ~45 min intermediate

When to use: Pre-launch or relaunch; you need root + long-tail keywords organized by intent.

Prerequisites

Skill installed — git clone https://github.com/nexscope-ai/Amazon-Skills ~/.claude/skills/amazon-skills

Flow

Define seed terms

Amazon keyword research for 'reusable silicone food bags'. Give me root terms, long-tail, and attribute modifiers organized by search intent.✓ Copied

→ Tiered keyword map with intent tags
Rank by value

Rank by estimated search volume and competition. Flag anything that smells restricted.✓ Copied

→ Ranked list with restriction flags
Apply to listing

Map the top 12 keywords to title, bullets, and backend search terms (250-char limit).✓ Copied

→ Field-by-field placement

Outcome: A keyword map mapped to listing fields, ready to upload.

Pitfalls

Claude guesses search volume — Require directional categories (high/med/low) rather than specific numbers; validate with Helium10/Jungle Scout if precision matters

Combine with: ecommerce-skill

Audit your top 5 competitors on a keyword

👤 Sellers entering an existing category ⏱ ~40 min intermediate

When to use: You're about to launch and want to know what 'good' looks like.

Flow

Fetch top results

For the keyword 'silicone food storage bags', analyze the top 5 organic listings: price, BSR, review count, rating, hero image style, bullet patterns.✓ Copied

→ Competitor table with differentiated insights
Find your angle

What's the common weakness across all 5? Where can we differentiate without racing to the bottom on price?✓ Copied

→ Specific angle recommendation

Outcome: A positioning angle backed by what the category is and isn't doing.

Pitfalls

Hallucinated review counts and BSR — Require URLs; reject numbers without the ASIN link

Audit an existing listing and produce a fix list

👤 Sellers with an existing listing underperforming ⏱ ~30 min beginner

When to use: Listing is live, sessions are okay, conversion is poor.

Flow

Paste listing

Audit this listing: [paste title/bullets/description/images]. Flag policy risks, conversion blockers, keyword gaps.✓ Copied

→ Per-field issues with severity
Prioritize

Rank by expected impact vs effort. Top 5.✓ Copied

→ Ranked fix list

Outcome: A sprint-sized list of listing fixes.

Draft a Sponsored Products strategy for a new launch

👤 Sellers starting PPC from zero ⏱ ~30 min intermediate

When to use: Product just launched; you need a sensible first PPC structure.

Flow

Campaign structure

Design campaign structure: auto research, exact discovery, broad research, product targeting. Budgets for $30/day total.✓ Copied

→ Per-campaign budget + match-type split
Negatives

What should go in the negative keyword list from day one?✓ Copied

→ Starter negatives list

Outcome: A first PPC structure that won't waste money on day one.

Pitfalls

Going too broad on exact-match — Start with auto for discovery, graduate converters to exact

Combinations

Pair with other MCPs for X10 leverage

amazon-skill + ecommerce-skill

Ecommerce is cross-platform; Amazon skill adds Amazon-specific depth

Validate the product with ecommerce-skill, then drill into Amazon specifics with amazon-skill.✓ Copied

Tools

What this MCP exposes

Tool	Inputs	When to call	Cost
Keyword research	-	Pre-launch	Claude tokens
Competitor analysis	-	Entering a category	Claude tokens
Listing audit	-	Existing listings	Claude tokens
PPC strategy	-	PPC launch	Claude tokens

Cost & Limits

What this costs to run

API quota: None
Tokens per call: 10-20k for full research
Monetary: Free
Tip: For precise search volume numbers, pair with Helium10/Jungle Scout; the skill handles strategy, not volume.

Security

Permissions, secrets, blast radius

Credential storage: No credentials

Data egress: Prompts sent to Claude

Don't paste Seller Central credentials or account-specific data into prompts.

Troubleshooting

Common errors and fixes

Keyword volumes feel invented

Ask for directional tiers, not specific numbers. Validate with external tools.

Listing audit misses Amazon policy issues

Paste the current Amazon style guide for your category as context before auditing

Alternatives

Amazon-Skills vs others

Alternative	When to use it instead	Tradeoff
ecommerce-skill	You sell on multiple platforms	Less Amazon-specific depth
Helium 10 / Jungle Scout	You need deterministic market data	Paid, not in Claude Code

More

Resources

📖 Read the official README on GitHub

🐙 Browse open issues

🔍 Browse all 400+ MCP servers and Skills