Catalog Cli Pro

Catalog CLI

[PyPI version] [License: MIT]

Agent-native Amazon catalog auditing tool

The first AI-agent-friendly Amazon catalog analysis tool. Query your CLRs with structured input, integrate via MCP server, and automate catalog audits.

Hosted API available at api.catalogcli.com — persistent storage, unlimited scans, and API access for $9.99/mo. Learn more

What's New in v2.3

• Seller Central AJAX lookup - Fetch Amazon's live Seller Central listing JSON with catalog listing fetch <asin>
• Live listing vs CLR diff - Compare Amazon's current listing fields against your Category Listing Report with catalog listing diff <asin> <clr-file>
• Agent-ready Seller Central tools - New MCP tools catalog_seller_listing_fetch and catalog_seller_listing_diff
• Local cookie auth - Use --cookie, --cookie-file, or CATALOG_SELLER_CENTRAL_COOKIE; Seller Central cookies stay local

v2.2 Title Readiness

• Amazon title readiness - mobile-title-readiness flags titles over 75 characters for Amazon's mobile title update
• Rewrite-ready output - Returns first-75-character title segments, overflow text, significant terms, item highlight status, and recommended next actions
• Agent workflow friendly - Aliases title-75 and amazon-title-75 make it easy to call from Claude, MCP clients, and automation workflows
• 14 built-in checks - Adds a title triage workflow while keeping the classic 200-character long-titles check unchanged

v2.0 Agent Foundations

• Shared core architecture - Business logic separated into catalog/core/, powering both CLI and MCP
• MCP server - catalog mcp launches a stdio MCP server with 4 tools, ready for Claude Desktop and any MCP client
• JSON input - --json and --stdin flags for structured agent input
• Schema introspection - catalog schema --format json returns full request/response schemas
• Field masks - --fields sku,severity,details to reduce output size
• Pagination - --limit and --offset for controlling result size
• NDJSON streaming - --format ndjson for line-by-line streaming of large results
• Input hardening - Pydantic validation rejects path traversal, injection, and malformed input
• Environment variables - CATALOG_CLI_DEFAULT_FORMAT=json for headless/CI use
• Backward compatible - All v1.x commands work unchanged

Features

• Agent-Native - CLI + MCP server as equal citizens, JSON/NDJSON output, schema introspection
• Fast - Query 1000+ SKU catalogs in seconds
• Extensible - Plugin system for custom queries
• Comprehensive - 14 built-in catalog health checks
• Intent Optimized - COSMO-inspired shopper intent coverage for bullets

Installation

pip install amazon-catalog-cli

Or install from source:

git clone https://github.com/BWB03/amazon-catalog-cli.gitcd amazon-catalog-clipip install -e .

Quick Start

For Humans

# Run all catalog checkscatalog scan my-catalog.xlsx
# Detailed resultscatalog scan my-catalog.xlsx --show-details
# Run specific checkcatalog check intent-bullets my-catalog.xlsx
# Audit titles for Amazon's 75-character mobile title updatecatalog check mobile-title-readiness my-catalog.xlsx
# List available queriescatalog list-queries

For AI Agents

# JSON output with field mask and limitcatalog scan my-catalog.xlsx --format json --fields sku,severity,details --limit 20
# Title rewrite triage for agentscatalog check mobile-title-readiness my-catalog.xlsx --format json \  --fields sku,details,title_char_count,mobile_visible_title,overflow_title,all_significant_terms
# Structured JSON inputcatalog scan --json '{"file": "my-catalog.xlsx", "queries": ["missing-attributes"], "limit": 10}'
# Piped inputecho '{"file": "my-catalog.xlsx"}' | catalog scan --stdin --format json
# NDJSON streaming for large resultscatalog scan my-catalog.xlsx --format ndjson
# Schema introspection (discover queries, params, response shapes)catalog schema --format json
# Fetch live Seller Central listing JSON for an ASINCATALOG_SELLER_CENTRAL_COOKIE='session-id=...' catalog listing fetch B000TEST01 --format json
# Compare live Seller Central JSON with a CLR rowcatalog listing diff B000TEST01 my-catalog.xlsx --sku SKU-123 --format json

MCP Server (for Claude Desktop, CLR Pro, etc.)

# Start MCP servercatalog mcp

Add to Claude Desktop config:

{  "mcpServers": {    "catalog": {      "command": "catalog",      "args": ["mcp"]    }  }}

MCP tools: catalog_scan, catalog_scan_summary, catalog_check, catalog_seller_listing_fetch, catalog_seller_listing_diff, catalog_list_queries, catalog_schema

Available Queries

Attribute Audits

• missing-attributes - Find mandatory attributes missing from listings
• missing-any-attributes - Find all missing attributes (required + conditional)
• new-attributes - Find unused template fields that might add value

Content Quality

• intent-bullets - Score bullet points against shopper intent coverage
• bullet-prohibited-content - Find bullet points with prohibited chars, emojis, claims, or placeholders
• bullet-formatting - Check bullet formatting (capitalization, length, punctuation)
• bullet-awareness - Soft violations in bullets (excessive caps, problematic chars)
• mobile-title-readiness - Find titles over 75 characters and prepare rewrite inputs
• long-titles - Find titles exceeding 200 characters
• title-prohibited-chars - Find titles with prohibited characters
• prohibited-chars - Find prohibited characters in title/brand

Catalog Structure

• product-type-mismatch - Find mismatched product types and item keywords
• missing-variations - Find products that should be variations but aren't

CLI Commands

catalog scan

Run all queries on a CLR file.

catalog scan <clr-file> [OPTIONS]
Options:  --format [terminal|json|csv|ndjson]  Output format (default: terminal)  --output PATH                        Output file path  --show-details / --no-details        Show detailed results  --include-fbm-duplicates             Legacy: include repeated exact-SKU rows  --json TEXT                          JSON request body  --stdin                              Read JSON request from stdin  --queries TEXT                       Comma-separated query names  --fields TEXT                        Comma-separated field mask  --limit INTEGER                      Max issues to return  --offset INTEGER                     Skip first N issues

catalog check

Run a specific query.

catalog check <query-name> <clr-file> [OPTIONS]
Options:  --format [terminal|json|csv|ndjson]  Output format (default: terminal)  --output PATH                        Output file path  --show-details / --no-details        Show detailed results  --json TEXT                          JSON request body  --stdin                              Read JSON request from stdin  --fields TEXT                        Comma-separated field mask  --limit INTEGER                      Max issues to return  --offset INTEGER                     Skip first N issues

catalog listing fetch

Fetch Amazon's live Seller Central listing JSON for an ASIN.

Requires a logged-in Seller Central cookie from your own browser session. Pass it with --cookie, --cookie-file, or the CATALOG_SELLER_CENTRAL_COOKIE environment variable.

catalog listing fetch <asin> [OPTIONS]
Options:  --format [terminal|json]  Output format (default: terminal)  --output PATH             Output file path  --cookie TEXT             Seller Central Cookie header value  --cookie-file PATH        File containing the Cookie header value  --timeout FLOAT           HTTP timeout in seconds  --json TEXT               JSON request body  --stdin                   Read JSON request from stdin

catalog listing diff

Compare Amazon's live Seller Central listing JSON with a matching CLR row.

Rows match by --sku when provided. Otherwise Catalog CLI looks for Product Id Type = ASIN and Product Id = <asin> in the CLR.

catalog listing diff <asin> <clr-file> [OPTIONS]
Options:  --sku TEXT                Optional SKU to match in the CLR  --format [terminal|json]  Output format (default: terminal)  --output PATH             Output file path  --cookie TEXT             Seller Central Cookie header value  --cookie-file PATH        File containing the Cookie header value  --timeout FLOAT           HTTP timeout in seconds  --json TEXT               JSON request body  --stdin                   Read JSON request from stdin

catalog schema

Show schema for queries, params, and response shapes.

catalog schema [query-name] [OPTIONS]
Options:  --format [terminal|json]  Output format

catalog list-queries

List available queries.

catalog list-queries [OPTIONS]
Options:  --format [terminal|json]  Output format

catalog mcp

Start the MCP server (stdio transport).

catalog mcp

catalog setup-claude

Configure Claude Code to use Catalog CLI as an MCP tool server.

# Free (local) — data stays on your machinecatalog setup-claude
# Pro (hosted API) — persistent storage, unlimited scanscatalog setup-claude --pro --api-key YOUR_KEY
# Per-project instead of globalcatalog setup-claude --project

After setup, restart Claude Code and try: "Scan my-catalog.xlsx and tell me the biggest issues"

Example JSON Output

{  "timestamp": "2026-03-05T10:30:00Z",  "marketplace": "US",  "is_us_marketplace": true,  "total_queries": 14,  "total_issues": 47,  "total_affected_skus": 23,  "results": [    {      "query_name": "missing-attributes",      "description": "Find mandatory attributes missing from listings",      "total_issues": 12,      "affected_skus": 8,      "issues": [        {          "row": 7,          "sku": "ABC-123",          "field": "brand",          "severity": "required",          "details": "Missing required field: brand",          "product_type": "HAIR_STYLING_AGENT",          "extra": {}        }      ]    }  ]}

Agent Integration

Via CLI (subprocess)

import subprocess, json
result = subprocess.run(    ['catalog', 'scan', 'my-catalog.xlsx', '--format', 'json',     '--fields', 'sku,severity,details', '--limit', '20'],    capture_output=True, text=True)data = json.loads(result.stdout)

Via Python (direct import)

from catalog.core import execute_scan, ScanRequest
request = ScanRequest(    file="my-catalog.xlsx",    queries=["missing-attributes", "intent-bullets"],    fields=["sku", "severity", "details"],    limit=20,)response = execute_scan(request)

Via MCP

Add the MCP server to any MCP client (Claude Desktop, CLR Pro, etc.) and call catalog_scan, catalog_check, catalog_seller_listing_fetch, catalog_seller_listing_diff, catalog_list_queries, or catalog_schema.

Intent-Based Bullet Optimization

The intent-bullets query evaluates bullet points against COSMO-inspired shopper intent coverage:

• Audience / need fit: Who it is for, preferences, or problem state
• Function / use case: The job, activity, event, or use flow
• Context / compatibility: Where, when, or what it works with
• Decision evidence: Specs, attributes, trust signals, or differentiators
• All bullets: Checked for intent coverage, length, vague marketing, ALL CAPS

Scores 1-5 with actionable suggestions. The old rufus-bullets query name still works as a deprecated compatibility alias.

Extending with Custom Queries

from catalog.query_engine import QueryPlugin
class MyCustomQuery(QueryPlugin):    name = "my-custom-check"    description = "My custom catalog check"
    def execute(self, listings, clr_parser):        issues = []        for listing in listings:            if some_condition:                issues.append({                    'row': listing.row_number,                    'sku': listing.sku,                    'field': 'FieldName',                    'severity': 'warning',                    'details': 'Issue description',                    'product_type': listing.product_type                })        return issues

Requirements

• Python 3.10+
• openpyxl
• click
• rich
• pydantic
• mcp

How to Get Your CLR

1. Go to Amazon Seller Central > Catalog > Category Listing Report
2. Click Generate Report
3. Download the .xlsm or .xlsx file
4. Run catalog CLI on it

Free vs Pro

Get started at catalogcli.com | API Docs

Contributing

This is an open-source project. Contributions welcome!

• Add new query plugins
• Improve parsing logic
• Enhance output formats
• Build integrations

License

MIT License - Free to use, modify, and distribute.

Author

Built by Brett Bohannon (@BWB03)

Related Projects

• amazon-catalog-auditor-skill - OpenClaw skill for agent workflows
• clr-auditor - Original CLR auditing tool
• amazon-tool - Amazon variation creator

Agent-native Amazon catalog tool. Built for the future of catalog management.