UrbanWatcherKr

UrbanWatcherKr / korean-land-mcp

Public

토지이음(EUM) MCP 서버 - Korean Land Information MCP

11
1
100% credibility
Found Apr 24, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
TypeScript
AI Summary

An open-source server enabling AI models to query official Korean government land use, zoning, urban planning, and regulatory overlays via natural language tools.

How It Works

1
🏠 Discover Korean Land Helper

You hear about a handy tool that lets AI assistants quickly check official land details like zoning and plans for any Korean address.

2
📋 Sign Up for Free Map Access

Visit the official map site to get free permission to view land layers, just like signing up for a library card.

3
📥 Download and Prepare

Grab the tool from the sharing site and run a simple setup that asks for your map permission and gets everything ready in moments.

4
🔗 Connect to Your AI Friend

Paste a short note into your AI chat app like Claude, linking this land helper so it can fetch real map facts.

5
💬 Ask About Any Land

Chat naturally with your AI, like 'What's the zoning for this address in Pyeongtaek?' and it pulls fresh details.

6
📊 Get Clear Land Report

Your AI delivers a neat summary of zones, facilities, restrictions, and tips on what laws to check next.

✅ Smart Decisions Made

Now you confidently understand land rules, risks, and next steps for buying, building, or planning.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 11 to 11 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is korean-land-mcp?

This TypeScript MCP server pulls official Korean land information from the V-World API and 토지이음 (EUM), turning manual lookups for zoning, urban facilities, and legal overlays into structured JSON via seven natural-language tools. Feed it an address or PNU like "경기도 평택시 포승읍 내기리 680," and get back use zones, district plans, building restrictions, and priority law hints—no scraping or mocks, just real API data. Pair it with korean-law-mcp for full workflows from parcel analysis to regulation texts.

Why is it gaining traction?

It stands out by exposing 50+ V-World layers across zoning types, 42 other-law designations, and urban facilities with honest error reporting, plus smart hints for National Land Planning Act overrides. Setup is dead simple: clone, `npm run setup` grabs your free V-World key and spits out Claude Desktop JSON—no config hell. Developers dig the `analyze_parcel` one-shot chaining and live tests for regression-proof reliability.

Who should use this?

Real estate AI builders querying land attributes for deal screeners. Urban planning consultants automating compliance checks on permits and overlays. Legal tech devs in Korea chaining spatial data to law texts for "can I build a factory here?" bots integrated with Claude or Cursor.

Verdict

Grab it if you're in Korean land tech—solid docs, Vitest coverage, and Docker/Fly.io deploys make it production-ready despite 11 stars and 1.0% credibility score. Early maturity means watch for V-World flakiness, but MIT license invites quick forks.

(187 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.