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    An open-source MCP server that wraps the Shopline Open API into 143 AI-callable tools for e-commerce data analysis, enabling AI agents to query orders, products, inventory, customer behavior, and promotions from Shopline stores through natural language.
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    MIT
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    Enables AI agents to answer analytical questions about an online store's SQLite database through specialized read-only tools, without any risk of modifying the underlying data.
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    An MCP server that detects affiliate links and provides information about Tracklix, enabling AI assistants to answer affiliate-link-related questions without any network calls or API keys.
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    MIT
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    ProfitLee MCP is an MCP server for analyzing ecommerce and marketplace profitability. It helps users calculate net profit, profit margin, ROI, breakeven price, and fee-adjusted outcomes from product cost, selling price, shipping, ads, platform fees, and tax inputs. It also supports reusable profit scenarios so users can compare pricing and cost assumptions more easily.
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    MIT
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    Enables AI assistants to search JLCPCB's 450K+ electronic component catalog with real-time stock levels and pricing, supporting keyword search, filtering, and detailed component information.
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    Enables AI agents to retrieve live product prices, stock, variants, and deal ratings from Shopify, WooCommerce, Walmart, eBay, and Amazon by pasting product links and asking about price, availability, or comparisons.
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    MIT
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    Enables intelligent product discovery on Digikala (Iran's largest e-commerce platform) with bilingual search, query optimization, price filtering in Toomans, product details, recommendations, and AI-powered semantic search for clothing and accessories.
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    Ask your AI assistant about LEGO sets, find specific bricks, look up minifigures, browse themes, and compare sets. All backed by Rebrickable's catalog (26k sets, 62k parts, 17k minifigs), not hallucinations.
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    Fashion discovery MCP server for Indian Gen Z that enables AI assistants to search and discover fashion products from Klydo's platform.
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    MIT