Real Estate
π Ask Claude about Korean apartment prices β powered by κ΅ν κ΅ν΅λΆ open API
What is Real Estate?
Real Estate is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to π ask claude about korean apartment prices β powered by κ΅ν κ΅ν΅λΆ open api
π Ask Claude about Korean apartment prices β powered by κ΅ν κ΅ν΅λΆ open API
This server falls under the Analytics category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- π Ask Claude about Korean apartment prices β powered by κ΅ν κ΅ν΅
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx real-estateConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Real Estate
The Real Estate MCP server connects AI assistants to South Korea's public real estate data portal (곡곡λ°μ΄ν°ν¬νΈ / data.go.kr), enabling Claude to query apartment, officetel, villa, single-house, and commercial property transaction and rental prices across the country. It covers 14 or more datasets sourced from the Ministry of Land, Infrastructure and Transport (κ΅ν κ΅ν΅λΆ) and provides region-code lookup to make searches precise. Analysts, home buyers, and real estate professionals in Korea use it to ask plain-language questions about market prices and get answers backed by authoritative government data.
Prerequisites
- Python 3.10 or newer
- uv package manager installed (see https://docs.astral.sh/uv/getting-started/installation/)
- A free API key from data.go.kr (Korea Public Data Portal) β register and request access to the real estate transaction datasets
- An MCP client such as Claude Desktop
Clone the repository
Clone the real-estate-mcp project to your local machine.
git clone https://github.com/tae0y/real-estate-mcp.git
cd real-estate-mcpObtain a data.go.kr API key
Register at https://www.data.go.kr and request access to the apartment trade and rental APIs from the Ministry of Land, Infrastructure and Transport. Copy the issued service key β this is your DATA_GO_KR_API_KEY.
Install dependencies with uv
Use uv to install the Python dependencies defined in the project. This also creates a virtual environment automatically.
uv syncTest the server locally
Run the MCP server directly to verify it starts without errors. Pass the API key as an environment variable.
DATA_GO_KR_API_KEY=your_api_key_here uv run python src/real_estate/mcp_server/server.pyAdd the server to Claude Desktop configuration
Open ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) and add the real-estate MCP server entry with your absolute path and API key.
{
"mcpServers": {
"real-estate": {
"command": "uv",
"args": [
"run",
"--directory",
"/absolute/path/to/real-estate-mcp",
"python",
"src/real_estate/mcp_server/server.py"
],
"env": {
"DATA_GO_KR_API_KEY": "your_api_key_here"
}
}
}
}Restart Claude Desktop
Save the config file and restart Claude Desktop. The real-estate tools will become available and you can start querying Korean property prices.
Real Estate Examples
Client configuration
Full Claude Desktop config entry for the real-estate MCP server. Replace the directory path and API key with your actual values.
{
"mcpServers": {
"real-estate": {
"command": "uv",
"args": [
"run",
"--directory",
"/Users/yourname/real-estate-mcp",
"python",
"src/real_estate/mcp_server/server.py"
],
"env": {
"DATA_GO_KR_API_KEY": "your_data_go_kr_service_key"
}
}
}
}Prompts to try
Ask Claude questions about Korean real estate after the server is connected.
- "What were the average apartment trade prices in Gangnam-gu last month?"
- "Show me officetel rental prices in Mapo-gu for units under 50 square meters"
- "Look up the region code for Seongdong-gu and then find recent villa transactions"
- "Compare apartment prices between Bundang and Pangyo over the last 6 months"
- "What is the trend in single-house purchase prices in Jeju for this year?"Troubleshooting Real Estate
API returns authentication error or empty results
Ensure the DATA_GO_KR_API_KEY value is the URL-decoded service key from data.go.kr. Some keys are URL-encoded and need to be decoded before use. Also confirm you have been approved for the specific dataset you are querying.
uv: command not found
Install uv following the official guide at https://docs.astral.sh/uv/getting-started/installation/. On macOS/Linux: 'curl -LsSf https://astral.sh/uv/install.sh | sh', then restart your terminal.
Server starts but no tools appear in Claude Desktop
Verify that the --directory argument points to the absolute path of the cloned repository and that server.py exists at src/real_estate/mcp_server/server.py. Check Claude Desktop logs for import errors.
Frequently Asked Questions about Real Estate
What is Real Estate?
Real Estate is a Model Context Protocol (MCP) server that π ask claude about korean apartment prices β powered by κ΅ν κ΅ν΅λΆ open api It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Real Estate?
Follow the installation instructions on the Real Estate GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Real Estate?
Real Estate works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Real Estate free to use?
Yes, Real Estate is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
Real Estate Alternatives β Similar Analytics Servers
Looking for alternatives to Real Estate? Here are other popular analytics servers you can use with Claude, Cursor, and VS Code.
OpenMetadata
β 14.0kOpenMetadata is a unified metadata platform for data discovery, data observability, and data governance powered by a central metadata repository, in-depth column level lineage, and seamless team collaboration.
Superset
β 10.9kAn MCP server that provides AI assistants with full access to Apache Superset instances, enabling interaction with dashboards, charts, datasets, databases, and SQL execution capabilities.
Horizon
β 4.4kπ‘ Your own AI-powered news radar. Generates daily briefings in English & Chinese. | η¨ AI ζε»Ίδ½ δΈε±ηζ°ι»ι·θΎΎ
MCP Server Chart
β 4.1kEnables generation of 25+ types of charts and data visualizations using AntV, including bar charts, line charts, maps, mind maps, and specialized diagrams like fishbone and sankey charts. Supports both statistical charts and geographic visualizations
Muapi CLI
β 997Official CLI for muapi.ai β generate images, videos & audio from the terminal. MCP server, 14 AI models, npm + pip installable.
Weather MCP Server
β 907Weather Data Fetcher MCP server built with Node.js, MCP SDK, and Zod. Provides weather details like temperature and forecast for cities such as Noida and Delhi via a registered tool. Simplifies API integration, enabling structured responses for clien
Browse More Analytics MCP Servers
Explore all analytics servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Real Estate in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use Real Estate?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.