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Ask Claude about Korean apartment prices — powered by MOLIT's open API

294
38
100% credibility
Found Feb 19, 2026 at 79 stars 4x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A plugin for AI assistants like Claude that queries official Korean government APIs for real estate sales, rentals, auctions, and subscription data.

How It Works

1
📖 Discover the real estate helper

You hear about a handy tool that lets your AI chat buddy pull real Korean apartment and house prices from official sources.

2
🆓 Grab your free data pass

Visit the government data site, sign up quickly, and get permission to access public price records.

3
🔗 Connect to your AI friend

Tell your AI chat app where to find the helper and share your data pass so it can fetch fresh prices.

4
🔄 Restart and check it's ready

Refresh your chat app, and you'll see the real estate helper listed among your tools.

5
💬 Ask away in plain talk

Chat naturally like 'What's the average apartment price in Mapo-gu last month?' and watch it work.

🎉 Get smart price insights

Enjoy clear summaries, trends, rent comparisons, and auction info to make informed buying or renting choices.

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AI-Generated Review

What is real-estate-mcp?

This Python MCP server lets you ask Claude a question about Korean apartment prices, rents, subscriptions, and auctions, pulling real data from MOLIT's open APIs via 14+ tools. Hook it into Claude Desktop, web, CLI, or even ChatGPT with stdio or HTTP transport, and query officetel trades, villa rents, or Onbid public auctions naturally—like "ask Claude Sonnet for Seoul Mapo-gu jeonse ratios." It solves the hassle of manual API key setup and XML parsing for Korean real estate insights.

Why is it gaining traction?

It stands out by turning dry government APIs into seamless Claude tools, so you can ask Claude AI free for precise data without coding queries yourself—perfect for ask Claude online or ask Claude login sessions. Docker Compose with Caddy makes deployment dead simple, and per-service API keys plus OAuth support it for production. Devs love the FastAPI backend and uv packaging for quick spins, beating scattered scripts or paid real estate scrapers.

Who should use this?

Korean real estate investors chatting with Claude 2 for monthly trade summaries or jeonse ratios in target gu/gun. Data analysts asking Claude code questions to trend apartment prices across years. Devs building ask GitHub Copilot a question-style bots or Streamlit dashboards needing MOLIT feeds without boilerplate.

Verdict

Worth a spin if you're in Korean real estate—docs shine with client guides and custom instructions, plus solid test coverage via pytest. But 22 stars and 1.0% credibility score scream early days; test quotas and API limits before betting big.

(198 words)

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