Amazon-Skills MCP — 使用场景, 安装 & 实时演示

为什么要用

核心特性

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

实时演示

实际使用效果

amazon-skill.replay ▶ 就绪

0/0

安装

选择你的客户端

~/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
    }
  }
}

打开 Claude Desktop → Settings → Developer → Edit Config。保存后重启应用。

~/.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 使用与 Claude Desktop 相同的 mcpServers 格式。项目级配置优先于全局。

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
    }
  }
}

点击 Cline 侧栏中的 MCP Servers 图标，然后选 "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
    }
  }
}

格式与 Claude Desktop 相同。重启 Windsurf 生效。

~/.continue/config.json

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

Continue 使用服务器对象数组，而非映射。

~/.config/zed/settings.json

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

加入 context_servers。Zed 保存后热重载。

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

一行命令搞定。用 claude mcp list 验证，claude mcp remove 卸载。

使用场景

实战用法： Amazon-Skills

How to do Amazon keyword research for a new listing

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

何时使用： Pre-launch or relaunch; you need root + long-tail keywords organized by intent.

前置条件

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

步骤

Define seed terms

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

→ Tiered keyword map with intent tags
Rank by value

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

→ Ranked list with restriction flags
Apply to listing

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

→ Field-by-field placement

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

注意事项

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

搭配使用： ecommerce-skill

Audit your top 5 competitors on a keyword

👤 Sellers entering an existing category ⏱ ~40 min intermediate

何时使用： You're about to launch and want to know what 'good' looks like.

步骤

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.✓ 已复制

→ 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?✓ 已复制

→ Specific angle recommendation

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

注意事项

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

何时使用： Listing is live, sessions are okay, conversion is poor.

步骤

Paste listing

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

→ Per-field issues with severity
Prioritize

Rank by expected impact vs effort. Top 5.✓ 已复制

→ Ranked fix list

结果： A sprint-sized list of listing fixes.

Draft a Sponsored Products strategy for a new launch

👤 Sellers starting PPC from zero ⏱ ~30 min intermediate

何时使用： Product just launched; you need a sensible first PPC structure.

步骤

Campaign structure

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

→ Per-campaign budget + match-type split
Negatives

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

→ Starter negatives list

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

注意事项

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

组合

与其他 MCP 搭配，撬动十倍杠杆

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.✓ 已复制

工具

此 MCP 暴露的能力

工具	输入参数	何时调用	成本
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

成本与限制

运行它的成本

API 配额: None
每次调用 Token 数: 10-20k for full research
费用: Free
提示: For precise search volume numbers, pair with Helium10/Jungle Scout; the skill handles strategy, not volume.

安全

权限、密钥、影响范围

凭据存储： No credentials

数据出站： Prompts sent to Claude

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

故障排查

常见错误与修复

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

替代方案

Amazon-Skills 对比其他方案

替代方案	何时用它替代	权衡
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

Amazon-Skills

为什么要用

核心特性

实时演示

实际使用效果

安装

选择你的客户端

使用场景

实战用法： Amazon-Skills

How to do Amazon keyword research for a new listing

前置条件

步骤

注意事项

Audit your top 5 competitors on a keyword

步骤

注意事项

Audit an existing listing and produce a fix list

步骤

Draft a Sponsored Products strategy for a new launch

步骤

注意事项

组合

与其他 MCP 搭配，撬动十倍杠杆

工具

此 MCP 暴露的能力

成本与限制

运行它的成本

安全

权限、密钥、影响范围

故障排查

常见错误与修复

替代方案

Amazon-Skills 对比其他方案

更多

资源