Marketpricesmcp

A real-time Turkish supermarket product price comparison server based on.NET, integrated with clients through the MCP protocol to provide price comparison across multiple supermarkets.

E-commerce and retail Search tools #Price comparison #Real-time data #Supermarket price comparison #MCP protocol .C#

rating : 2.5 points

downloads : 7.5K

update time : 2025-04-29

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What is the Market Price Comparison Server?

This is an intelligent shopping assistant that can automatically compare food prices at major Turkish supermarkets and update them in real-time online. It helps you find the best deals without manually checking each store's website.

How to use this service?

Simply enter the product name in Turkish (e.g., '-domates-' or'süt') through any MCP-compatible application (such as Claude or Cursor), and the system will display price comparisons from different stores.

When to use it?

It is a perfect tool for budget-conscious shoppers, those who like to compare prices, or anyone who wants to save time checking multiple grocery store websites.

Features

Multi-store comparison

Real-time updates

User-friendly

Additional Resources

GitHub Repository

Source code and project files

MCP Protocol Documentation

Official MCP standard documentation

Cursor AI IDE

Popular MCP-compatible client

🚀 Market Price Calculator

This project aims to develop a tool that can calculate and display the market price of products based on user input. By integrating multiple data sources, it ensures the accuracy and real - time nature of the results.

🚀 Quick Start

This market price calculator is designed to help users quickly obtain the average market price of products. Just enter the product name you want to query, and the system will calculate and display the result based on multiple data sources.

✨ Features

User Input: Allows users to enter the product names they want to query.
Data Collection: Retrieves product price information from multiple reliable market data sources, such as e - commerce platforms and offline retail stores.
Data Processing: Cleans and organizes the collected data, removing invalid or abnormal data.
Price Calculation: Calculates and displays the average market price of products based on the organized data.
Result Output: Displays the calculation results in a user - friendly interface and provides visual presentations of the data.

🔧 Technical Details

1. Data Source Selection and Integration

E - commerce Platform APIs: Obtains product price information by calling the public API interfaces provided by major e - commerce platforms.
Offline Retail Data: Uses web scraping technology to extract product price information from the official websites of major shopping malls and supermarkets.
Third - Party Databases: Utilizes existing market data analysis platforms (such as Statista, Nielsen, etc.) to obtain relevant data.

2. Data Cleaning and Processing

Outlier Removal: Identifies and eliminates price data that significantly deviates from the normal range, such as data points far higher or lower than the market price.
Data Standardization: Unifies the price units and currency types of different data sources to ensure data consistency.
Data Fusion: Merges data from multiple sources and aggregates the price information of the same product.

3. Calculation Logic

Average Calculation: For each product, calculates the average price across all data sources as a reference value for the market price.
Weighted Average: Assigns different weights according to the reliability and market influence of each data source and calculates the weighted average to improve the accuracy of the results.

4. User Interface Design

Input Interface: Provides a simple text box for users to enter product names.
Result Display: Displays the market price of products and their source distribution in the form of tables or charts, allowing users to intuitively understand price fluctuations.

📚 Documentation

Data Source Examples

The following are examples of data sources that may be used in the project:

Taobao API: Obtains product price information by calling the API interface provided by the Taobao Open Platform.
JD Mall API: Utilizes the API service provided by JD to scrape pricing data of relevant products.
Suning.com: Uses web scraping technology to extract product price information from the official website of Suning.com.
Wal - Mart: Collects product pricing data from Wal - Mart's official online store.

Project Process

Requirement Analysis: Clarifies user requirements and determines functional modules and implementation goals.
Technology Selection: Selects appropriate technology stacks and tools, including programming languages, frameworks, and API interfaces.
Data Source Development: Integrates various data sources and ensures the stability and reliability of data acquisition.
Data Processing and Cleaning: Establishes a data pre - processing process to ensure data quality.
Calculation Logic Implementation: Writes code to implement the price calculation function.
User Interface Design and Implementation: Designs and develops a user - friendly interface to enhance the user experience.

Project Goals

Develop an efficient and accurate market price calculator tool.
Provide intuitive data visualization results to help users quickly understand the market situation.
Ensure the scalability and maintainability of the system for future function upgrades and data source additions.

Through the implementation of this project, we hope to provide users with a convenient market price query tool to assist them in making wise business decisions.