
Listing Bureau - Amazon Organic Ranking MCP Server
io.github.listingbureauPublished by GitHub account listingbureauv0.1.11Updated Oct 24, 2026
Amazon organic ranking MCP server. Run campaigns, track positions, monitor rank movement.
Overview
Connects an AI assistant to Listing Bureau's Amazon organic ranking service to create campaigns, set schedules, estimate costs and track keyword positions.
- What you can do
- Create, list, inspect, pause, resume and archive Amazon ranking projects by ASIN, keyword and region, and pull daily stats such as SFB, ATC, PGV and SERP data. Read and replace per-day campaign schedules or quick-set uniform daily volumes. Estimate campaign cost, including daily averages and wallet sustainability, before committing. Check wallet balance and transaction history, and generate a Stripe checkout link to top up. List and inspect orders, report order issues, and read or update account profile, service rates and subscription details. Submit feedback and feature requests.
- When to use it
- Useful for Amazon sellers or agencies who already work with Listing Bureau and want to run and monitor organic ranking campaigns from an MCP-capable assistant instead of the web dashboard. It is not a general Amazon data or keyword research tool.
- Requirements
- Runs locally over stdio, typically via npx with Node.js. Requires a Listing Bureau account and an API key supplied in the LB_API_KEY environment variable. An optional LB_BASE_URL variable overrides the API base URL. Network access to Listing Bureau's API is needed.
Installation
In SourceWeft
- Open Listing Bureau - Amazon Organic Ranking MCP Server in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
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
Source: README.md at commit b0894c4
Tools
0Version history
1- v0.1.11LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts