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    Enables MCP clients to look up manufacturer part numbers for pricing, inventory, lead times, documents, and images via the upstream product information API, supporting single and batch queries.
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    AGPL 3.0
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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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    39 npm
    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.
    4
    67 PyPI
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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.
    4
    20 PyPI
    1
    MIT
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    This server enables AI agents to search, analyze, and retrieve detailed information from classified advertisements across Iran. It facilitates comprehensive market research by summarizing asking prices and providing metadata for various categories and filters.
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    MIT
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    An unofficial Model Context Protocol server for the efood.gr consumer app API that lets you discover restaurants, browse menus, build a cart, and place real orders on efood.gr.
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    MIT
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    Provides AI assistants with access to Finland's Alko alcohol product catalog, enabling product search across 11,900+ items, store availability checks, Vivino ratings lookup, and personalized recommendations based on food pairings and preferences.
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    MIT
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    Enables users to browse a menu of 8 food items including pizzas, burgers, and drinks, and look up item details by ID through the get_menu tool.
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    Enables AI agents to search dishes and restaurants across Tapsi Food in Iran, inspect live menus and reviews, compare delivery fees and minimum orders, and find flash deals using location-based queries. It is read-only with no authentication and returns compact JSON with prices in Toman.
    11
    70 PyPI
    MIT
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    Enables searching and retrieving product information from Coupang (Korean e-commerce) via affiliate API, including product search, details, category bestsellers, and affiliate link generation.
    3
    MIT
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    Enables LLM agents to query live Citilink product data with accurate city-specific prices, ratings, reviews, stores, and markdown units, while filtering out misleading or implausible information.
    7
    MIT
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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.
    10
    132 npm
    4
    MIT
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    Enables AI assistants to search and aggregate used-vehicle listings across Cars.com, Autotrader, and KBB, with filters for price, mileage, dealer information, and CARFAX-style history conditions.
    1
    MIT
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    Enables MCP clients to let shop owners ask voice-first questions about KiotViet inventory, sales, and reordering, including drafting and confirming purchase orders.
    7
    MIT
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    MCP server for finding deals in food delivery apps (Wolt and Glovo). Enables AI agents to search restaurants and dishes, compare prices, ratings, and delivery options, and get recommendations with direct links.
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    An MCP server for searching PC components and comparing prices across Brazilian stores via meupc.net. It enables users to explore community builds, track deals, and access detailed hardware specifications and compatibility information.
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    10 npm
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    MIT
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    Order food on DoorDash — search stores, compare real fee-included totals from live quotes, and build carts; placing an order always requires a human approval dialog (fail closed without elicitation). Local macOS server driving DoorDash's official dd-cli.
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    106 npm
    MIT
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    Enables AI agents to manage inventory conversationally: list and look up products, check current stock levels, record inbound and outbound movements idempotently, review movement history, and surface items below their minimum threshold. Every figure is grounded in tool calls rather than model estimation, and invalid operations return explicit error codes the agent can reason about.
    5
    MIT
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    Enables AI agents to search a catalog of roughly 960,000 fashion products across about 10,000 Iranian online and Instagram shops, comparing prices and discounts, checking per-color and per-size stock, browsing categories and curated listings, and finding similar items at other shops. It also lets agents assess shop trust signals such as ratings and buyer surveys, surface flash sales and discount codes, and read blog style guides, all read-only with no login or ordering.
    14
    81 PyPI
    2
    MIT