Skip to main content
Glama
musaceylan

PriceAtlas MCP Server

by musaceylan
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

Related Servers

Alternatives to PriceAtlas MCP Server

No user-submitted related servers found.

    Related Servers

    • kassalapp-connector

      fredrsat
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to search and compare Norwegian grocery prices across multiple chains, retrieve price history, and access product details through the kassal.app API.
      MIT

    • Open Food Facts MCP Server

      caleb-conner
      A
      license
      A
      quality
      D
      maintenance
      Enables AI assistants to access the Open Food Facts database to query detailed food product information, nutritional data, and environmental scores. Supports product lookup by barcode, smart search with filtering, nutritional analysis, product comparison, and dietary recommendations to help users make informed food choices.
      5
      1
      MIT

    • Superprecio MCP Server

      bunkerapps
      A
      license
      A
      quality
      C
      maintenance
      Enables AI assistants to search products, compare prices, and find the best deals across multiple supermarkets in Argentina through Superprecio's price comparison API. Transforms Claude into an expert shopping assistant for Latin American grocery shopping.
      15
      14 npm
      MIT
    • ShopSavvy Data API MCP Server by shopsavvy

      ShopSavvy Data API MCP Serverofficial

      shopsavvy
      A
      license
      A
      quality
      C
      maintenance
      Provides AI assistants with access to ShopSavvy's comprehensive product data, pricing information, and historical price tracking, enabling product lookup by barcode or ASIN, current offers, price history, and scheduling for automatic monitoring.
      9
      1,159 npm
      9
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.7/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: get_prices focuses on detailed price observations per country, get_world_prices provides aggregated global price ranges, list_countries and list_stores handle metadata listing, lookup_product and search_products address product discovery, run_connectors manages data fetching, and submit_price handles price submission. There is no overlap or ambiguity between these functions.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern using snake_case, such as get_prices, list_countries, lookup_product, run_connectors, search_products, and submit_price. This uniformity makes the tool set predictable and easy to understand.

    Tool Count5/5

    With 8 tools, the server is well-scoped for its purpose of price and product data management. Each tool serves a specific role in the workflow, from data retrieval and submission to metadata listing and data updating, without being overly sparse or bloated.

    Completeness4/5

    The tool set covers core operations like retrieving prices, listing metadata, product lookup, data fetching, and price submission, providing good lifecycle coverage. A minor gap is the lack of tools for updating or deleting price data, but agents can work around this by re-submitting or ignoring outdated entries.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources