
Listing Bureau - Amazon Organic Ranking MCP Server
io.github.listingbureau由 GitHub 帳號 listingbureau 發布v0.1.11更新於 Oct 24, 2026
Amazon organic ranking MCP server. Run campaigns, track positions, monitor rank movement.
概覽
將 AI 助理連接到 Listing Bureau 的亞馬遜自然排名服務,用來建立活動、設定排程、估算成本並追蹤關鍵字排名。
- 可以做什麼
- 依 ASIN、關鍵字與地區建立、列出、檢視、暫停、恢復與封存亞馬遜排名專案,並取得 SFB、ATC、PGV、SERP 等每日統計資料。讀取並整批取代每日活動排程,或快速設定統一的每日量。在送出前估算活動成本,包含每日平均費用與錢包可持續性。查詢錢包餘額與交易紀錄,並產生 Stripe 結帳連結以進行儲值。列出與檢視訂單、回報訂單問題,讀取或更新帳戶資料、服務費率與訂閱資訊。送出意見回饋與功能建議。
- 適用情境
- 適合已使用 Listing Bureau 的亞馬遜賣家或代理商,希望透過支援 MCP 的助理而非網頁後台來執行與監控自然排名活動。它並非通用的亞馬遜資料或關鍵字研究工具。
- 執行需求
- 以 stdio 方式在本機執行,通常透過 npx 與 Node.js 啟動。需要 Listing Bureau 帳戶,並以環境變數 LB_API_KEY 提供 API 金鑰。選用環境變數 LB_BASE_URL 可覆寫 API 基礎位址。需要能連線到 Listing Bureau 的 API。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Listing Bureau - Amazon Organic Ranking MCP Server,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
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
來源:README.md,提交 b0894c4
工具
0版本歷史
1- v0.1.11最新Sep 16, 2026
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