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KirillSerchenko

products-mcp-server

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      Enables AI clients to perform full CRUD operations on e-commerce products stored in MySQL, including search with pagination, AI-powered description generation via sampling, and low-stock inventory monitoring. It also exposes product catalog resources and pre-built prompt templates over both stdio and HTTP/SSE transports.
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    • A
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      Enables querying live offers and prices from 10 Dutch supermarket chains through a single normalised JSON API. Exposes 26 curated tools, including product search and category lookups, over stdio or authenticated Streamable HTTP.
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    • A
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      Enables AI agents to query keyless mock REST data — products, users, posts, comments, recipes, quotes, and todos — with search, paging, and field selection for prototyping, demos, and test scaffolds. Offers a gateway-hosted or local stdio MCP endpoint plus plain-HTTP tool calls, requiring no API key or account for initial use.
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    TDQS

    B3.2/5.0

    Scored across 27 tools

    Disambiguation4/5

    Most tools have distinct purposes, but some overlap exists, e.g., getTopRatedProducts vs getMostReviewedProducts vs getProductsByMinRating, and multiple price-filtering tools could cause confusion.

    Naming Consistency5/5

    All tool names follow a consistent camelCase verb_noun pattern (e.g., getProductById, createProduct, countProducts), with no mixing of conventions.

    Tool Count3/5

    27 tools is on the high side; many are specialized queries that could be combined with optional parameters, but each tool serves a clear purpose.

    Completeness4/5

    Covers CRUD and a wide range of queries, though lacks a generic sort/filter endpoint and bulk operations; write operations are noted as simulated.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues