Korea Building Register MCP
Related Servers
Alternatives to Korea Building Register MCP
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceEnables natural language access to 11 Korean building data tools including building registers, permits, comprehensive profiles with zoning, floor composition, district statistics, old building analysis, price history, demolitions, and permit pipeline.65MIT
- FlicenseNot gradedqualityCmaintenanceEnables querying of Korean building ledger information including property details, floor plans, and pricing via natural language.-
- AlicenseNot gradedqualityDmaintenanceQueries South Korean building register data (e.g., floor area, parking, seismic design) via a single unified tool, converting API responses to Korean field names for easy AI understanding.3 npm1MIT
- AlicenseAqualityCmaintenanceProvides AI access to Korea's land use planning, urban regulations, and permit information through natural language queries. It integrates tools for land analysis, regulation verification, and public notice scraping to prevent hallucinations in property-related AI applications.818MIT
- AlicenseNot gradedqualityCmaintenanceEnables querying Korean apartment sales and rental transaction data from the public data portal through natural language, with tools for searching transactions and computing price statistics.17 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to search, retrieve, and analyze South Korean legal documents including statutes, precedents, constitutional decisions, and administrative rulings via the Ministry of Government Legislation Open API. Provides 89 specialized tools with features like legal abbreviation auto-recognition, annex extraction, and complex research chain workflows.MIT
TDQS
Scored across 12 tools
Each tool has a clearly distinct purpose targeting specific aspects of building registry data (e.g., basic overview, floor details, ownership information, sewage facilities). The descriptions clearly differentiate what each tool retrieves, with no apparent overlap in functionality. An agent can easily distinguish between tools like get_building_floor_ouln_info for floor-level data and get_building_expos_info for ownership unit details.
All tools follow a consistent snake_case naming pattern with a clear 'get_' or 'search_' prefix followed by a descriptive noun phrase. The naming convention is uniform across all 12 tools, making them predictable and easy to parse. Even the two non-get tools (search_bjdong_code and smart_building_lookup) maintain the same structural consistency.
With 12 tools, the server is well-scoped for its domain of building registry data in Korea. Each tool serves a specific, necessary function (e.g., retrieving different sections of the building registry, searching for codes, smart lookups). The count is neither too sparse nor excessive, covering various data aspects without redundancy.
The toolset provides comprehensive coverage for building registry queries, including code search (search_bjdong_code), smart overview (smart_building_lookup), and detailed retrievals for all major registry sections (title, floor, ownership, area, price, etc.). There are no obvious gaps; agents can navigate from address lookup to detailed data retrieval seamlessly, with tools like smart_building_lookup guiding workflows effectively.