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Lumnix

by dev.lumnix
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Server Details

AI-powered e-commerce research tools via MCP. Search Amazon, Alibaba & AliExpress for winning products, vet suppliers, and calculate FBA margins. 19 tools.

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Status
Unhealthy
Uptime
0.0% over 46 days
Last Tested
Transport
Streamable HTTP
URL

TDQS

A3.8/5.0

Scored across 19 tools

Disambiguation5/5

Each tool targets a distinct platform and action (e.g., search, get details, analyze competition). Tools are clearly differentiated by platform prefix (alibaba_, aliexpress_, amazon_) and verb-noun pairs, reducing ambiguity.

Naming Consistency5/5

All tool names follow a consistent pattern: platform_verb_noun in snake_case. The verbs are descriptive (search, get, analyze, estimate) and the naming is uniform across all platforms.

Tool Count5/5

19 tools is appropriate for a multi-platform product research server. Each tool serves a specific function without redundancy, covering search, details, analysis, and calculations across three e-commerce platforms.

Completeness5/5

The tool set covers the full product research lifecycle: searching, getting details, analyzing competition, estimating sales, calculating profits, vetting suppliers, and tracking history. No obvious gaps for the intended use case.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 19 tool updates
    • First observedalibaba_get_product_details
    • First observedalibaba_match_to_amazon
    • First observedalibaba_search_products
    • First observedalibaba_vet_supplier
    • First observedaliexpress_analyze_supplier
    • First observedaliexpress_get_product_details
    • First observedaliexpress_profit_calculator
    • First observedaliexpress_search_products
    • First observedamazon_analyze_competition
    • First observedamazon_analyze_listing_quality
    • First observedamazon_analyze_negative_reviews
    • First observedamazon_best_sellers
    • First observedamazon_bsr_history
    • First observedamazon_estimate_sales
    • First observedamazon_get_product_details
    • First observedamazon_keyword_suggestions
    • First observedamazon_opportunity_score
    • First observedamazon_price_history
    • First observedamazon_search_products

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