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Query Korean apartment sales and rental data and compute price statistics.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "realestate-mcp" yet — see the docs or source repo.
Please query apartment sale transactions in Gangnam-gu, Seoul, for the last 6 months and list the key details in reverse chronological order.
A list of recent sale transactions in the area, including dates and other key transaction details.
Help me calculate apartment rental transaction prices in a district of Busan over the past year, including the average, median, highest, and lowest values.
Statistical results for rental transaction prices within the specified period.
Please compare apartment sale and rental transactions in an area of Incheon over the past year and summarize the price-level differences.
A comparison of sale and rental transaction data with a brief summary of price-level differences.
Researchers or data analysts can use natural language to query Korean apartment transaction records and quickly collect sale or rental data for a specific area and time range. This reduces the time spent manually searching the public data portal.
When evaluating apartment market prices in a region, users can directly compute transaction price statistics. This is useful for an initial view of price ranges and market changes.
Product managers can use this tool to quickly inspect Korean apartment transaction data and validate demand for a property-data use case. Natural-language querying and statistics help form an early assessment faster.
It is an MCP tool that lets users query Korean apartment sales and rental transaction data in natural language, with transaction search and price statistics features. The described data source is a public data portal.
Based on the description, it supports searching transaction records and computing price statistics. More detailed statistical methods or filter fields are not provided; see the source repository.
The provided material does not specify installation steps, runtime requirements, or whether an API key is needed. Please see the source repository for prerequisites.
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