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moongzee

Price Monitor MCP Server

by moongzee
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Python
Remote

Price Monitor MCP Server

outline

This project is a price monitoring server based on Model Context Protocol (MCP). It compares the DB standard price and Gmarket real-time price using product codes, and sends a notification to Slack when the price drops.

  • Server/tool/prompt structure following MCP standards

  • Automate the entire process of crawling, price comparison, and notifications

  • Supports Slack webhook integration

Related MCP server: BigGo MCP Server

Key Features

  1. DB standard price search : Search the standard price in DB using the product code

  2. Gmarket Real-time Price Crawling : Using Firecrawl API

  3. Compare prices and calculate discount rates

  4. Send Slack notifications when price drops

  5. Provides a tool to automate the entire workflow

Folder structure

price_monitor_mcp/ ├── src/ │ └── price_monitor_mcp.py # MCP 서버 메인 코드 ├── mcp_client.py # MCP 클라이언트 코드 ├── README.md └── .env # 환경변수

How to run

1. Prepare virtual environment and install package

conda activate price_monitor_mcp pip install -r requirements.txt # 또는 필요한 경우 pip install mcp firecrawl requests python-dotenv psycopg2-binary pydantic

2. Setting environment variables

Set environment variables such as Slack webhooks in .env file as follows.

SLACK_WEBHOOK_URL=https://hooks.slack.com/services/... DB_HOST=... DB_PORT=... DB_NAME=... DB_USER=... DB_PASSWORD=...

3. Run the MCP server

mcp run src/price_monitor_mcp.py

  • Or run it with devtools: mcp dev src/price_monitor_mcp.py

  • Or activate the conda environment with a shell script and then run

MCP Tools/Prompts List

  • get_db_price(product_code) : DB standard price query

  • crawl_gmarket_price(product_code) : Gmarket real-time price crawling

  • send_slack_alert(message) : Send Slack notification

  • monitor_price_workflow(product_code) : Automatically run the entire process (recommended)

  • monitor_price(product_code) : prompt (for LLM)

Automate the entire process (recommended)

Example of calling a workflow tool

In the MCP dev tools/client:

  • Select the monitor_price_workflow tool, enter product_code , and run it.

  • Results: Returns DB price, lowest price, price difference, discount rate, Slack notification, etc.

Python client example

import asyncio from mcp import ClientSession, StdioServerParameters from mcp.client.stdio import stdio_client async def main(): server_params = StdioServerParameters( command="python", args=["src/price_monitor_mcp.py"], ) async with stdio_client(server_params) as (read, write): async with ClientSession(read, write) as session: await session.initialize() result = await session.call_tool("monitor_price_workflow", arguments={"product_code": "ULCK25151"}) print("워크플로우 결과:", result) if __name__ == "__main__": asyncio.run(main())

Slack notification test

  • If your Slack webhook is set up correctly, you will automatically be notified when a price drops.

  • The message format can be freely modified in send_slack_alert function.

LLM (Claude, GPT, etc.) linkage

  • Claude, GPT, etc. will be able to run prompts/tools in natural language once MCP server connection is officially supported

  • Currently, the results are received through MCP client code and pasted to LLM for summary/analysis request.

References/Documents

Contact/Contribution

  • Please leave any questions, bugs, or extension requests as issues!

This server cannot be installed

-
security - not tested
F
license - not found
-
quality - not tested

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