What is the Price Monitor MCP server?

The Price Monitor MCP server is a tool available on the UBOS Asset Marketplace that automates the process of tracking product prices on Gmarket and sending alerts via Slack when prices drop.

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs, enabling AI models to interact with external data sources and tools.

How does the Price Monitor MCP server work?

It fetches real-time price data from Gmarket using the Firecrawl API, compares it to a baseline price in a database, calculates the discount percentage, and sends a Slack alert if the price drops below a specified threshold.

What are the key features of the Price Monitor MCP server?

Key features include automated price monitoring, real-time data fetching, price comparison, Slack integration for instant alerts, MCP standard compliance, and an automated workflow.

What is UBOS?

UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agent to every business department.

How do I get started with the Price Monitor MCP server?

1. Prepare your environment with conda and install dependencies.
2. Configure environment variables in the .env file.
3. Run the MCP server using the command mcp run src/price_monitor_mcp.py.

What is Firecrawl?

Firecrawl is a web scraping API used by the Price Monitor MCP server to fetch real-time price data from Gmarket.

Can I integrate the Price Monitor MCP server with LLMs like Claude or GPT?

While direct integration is not yet officially supported, you can use the MCP client code to retrieve results and feed them into an LLM for summarization and analysis.

How can I customize the Slack alerts?

You can customize the message format and the channel where alerts are sent by modifying the send_slack_alert function.

Where can I find more information about MCP?

You can find more information about MCP on the MCP Python SDK official documentation.

What if I have questions or encounter bugs?

You can submit issues to the project repository for assistance and to report any bugs or request new features.