listingbureau-mcp

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.

Related MCP server: keepa-adapter

📦 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+)

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "listingbureau": {
      "command": "npx",
      "args": ["-y", "listingbureau-mcp"],
      "env": {
        "LB_API_KEY": "your-api-key-here"
      }
    }
  }
}

Claude Code

Install the plugin from the marketplace:

/plugin install listingbureau@claude-plugins-official

This installs the MCP server + the campaign methodology skill. Set LB_API_KEY in the shell environment before starting Claude Code.

claude mcp add listingbureau -e LB_API_KEY=your-api-key -- npx -y listingbureau-mcp

Cursor

After clicking, replace your-api-key-here with the actual API key in the dialog before confirming.

Add to .cursor/mcp.json (project-scoped) or ~/.cursor/mcp.json (global):

{
  "mcpServers": {
    "listingbureau": {
      "command": "npx",
      "args": ["-y", "listingbureau-mcp"],
      "env": {
        "LB_API_KEY": "your-api-key-here"
      }
    }
  }
}

Any MCP client

Run the server via npx and configure your client to connect over stdio:

npx -y listingbureau-mcp

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

npm install
npm run build
npm run dev    # watch mode
npm test

🔗 Links

• Landing page

• Create an account

📄 License

MIT