
Listing Bureau - Amazon Organic Ranking MCP Server
io.github.listingbureau由 GitHub 账号 listingbureau 发布v0.1.11更新于 Oct 24, 2026
Amazon organic ranking MCP server. Run campaigns, track positions, monitor rank movement.
概览
将 AI 助手连接到 Listing Bureau 的亚马逊自然排名服务,用于创建活动、设置排期、估算成本并跟踪关键词排名。
- 可以做什么
- 按 ASIN、关键词和地区创建、列出、查看、暂停、恢复和归档亚马逊排名项目,并获取 SFB、ATC、PGV、SERP 等每日统计数据。读取并整体替换每日活动排期,或快速设置统一的每日量。在提交前估算活动成本,包括日均费用和钱包可持续性。查询钱包余额和交易记录,并生成 Stripe 结账链接用于充值。列出和查看订单、报告订单问题,读取或更新账户资料、服务费率和订阅信息。提交反馈和功能建议。
- 适用场景
- 适合已经使用 Listing Bureau 的亚马逊卖家或代理机构,希望通过支持 MCP 的助手而非网页后台来运行和监控自然排名活动。它不是通用的亚马逊数据或关键词研究工具。
- 运行要求
- 以 stdio 方式在本地运行,通常通过 npx 和 Node.js 启动。需要 Listing Bureau 账户,并通过环境变量 LB_API_KEY 提供 API 密钥。可选环境变量 LB_BASE_URL 可覆盖 API 基础地址。需要能访问 Listing Bureau 的 API。
安装
在 SourceWeft 中
- 打开 控制台中的 Listing Bureau - Amazon Organic Ranking MCP Server,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
listingbureau-mcp
[npm version] [npm downloads] [MIT License] [GitHub stars] [Node.js >= 20]
Organic ranking campaigns for Amazon products, managed through your AI assistant.
The only ranking-focused Amazon MCP server. Create ranking campaigns, set campaign schedules, track keyword positions, and monitor rank movement from Claude, Cursor, or any MCP-compatible client.
Built on the same infrastructure associated with 1,700+ products reaching page one. Median time: 48 days. Past performance does not predict future results.
🚀 What it does
This MCP server connects your AI assistant to Listing Bureau's Amazon ranking infrastructure. Three signal types drive organic rank improvement:
- Search-Find-Buy (SFB) signals the A10 algorithm that real shoppers searched for a keyword, found the product, and purchased it
- Add-to-Cart (ATC) builds conversion intent and purchase intent signals
- Page Views (PGV) generate session-level browsing behavior that supports organic discovery
Your assistant handles the entire workflow: create a project for any ASIN and keyword, set a daily campaign schedule, estimate costs before committing, and pull position reports to track movement.
📦 Quick start
Claude Desktop (one-click)
Download the Desktop Extension and double-click to install. Claude Desktop will prompt for your API key.
Download listingbureau-mcp.mcpb (requires Claude Desktop 4.0+)
Manual config (alternative)
Add to claude_desktop_config.json:
Claude Code
Install the plugin from the marketplace:
This installs the MCP server + the campaign methodology skill. Set LB_API_KEY in the shell environment before starting Claude Code.
Manual setup (alternative)
Cursor
After clicking, replace your-api-key-here with the actual API key in the dialog before confirming.
Manual config (alternative)
Add to .cursor/mcp.json (project-scoped) or ~/.cursor/mcp.json (global):
Any MCP client
Run the server via npx and configure your client to connect over stdio:
Set LB_API_KEY as an environment variable. See the MCP specification for client-specific config.
🔑 Get an API key
Create an account at listingbureau.com. Your API key is in the dashboard under Settings.
⚙️ Environment variables
🔧 Tools
21 tools across 7 categories.
📂 Projects (6 tools)
📅 Schedule (3 tools)
💲 Cost Estimation (1 tool)
💰 Wallet (3 tools)
📦 Orders (3 tools)
👤 Account (4 tools)
💬 Feedback (1 tool)
🧠 Campaign methodology skill
The MCP server ships with a companion skill at skills/amazon-product-ranking/ that provides a guided 9-phase campaign workflow. The skill teaches the AI how to use the tools effectively: product assessment, competition analysis, funnel profile selection, ramp schedules, cost/ROI projections, execution, and monitoring.
Claude Code (plugin): The Claude Code plugin includes the skill automatically. Install via /plugin install listingbureau@claude-plugins-official.
Claude Code (manual): Copy or symlink the skills/amazon-product-ranking/ folder into your .claude/skills/ directory.
Other platforms: The server instructions reference the skill automatically. The AI can read the methodology from the GitHub link included in the instructions.
🛠️ Development
🔗 Links
📄 License
MIT
来源:README.md,提交 b0894c4
工具
0版本历史
1- v0.1.11最新Sep 16, 2026
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