korean-stat-mcp
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Alternatives to korean-stat-mcp
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Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables querying Korean official statistics from KOSIS via natural language in MCP clients like Claude Desktop, wrapping the KOSIS OpenAPI for search, data retrieval, and metadata exploration.MIT
- AlicenseAqualityBmaintenanceEnables natural language querying of Korean statistical data from KOSIS, including population, employment, GDP, housing prices, and more, with support for regional and trend analysis.88 npm16MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to retrieve real-time official Korean statistics from the KOSIS database through natural language queries, with source citations.MIT
- FlicenseNot gradedqualityDmaintenanceKorean public-data MCP servers for AI agents, enabling natural language queries to KOSIS statistics and other Korean official data sources without requiring local accounts or API keys.-
- FlicenseAqualityBmaintenanceEnables Claude to query Korean public financial, economic, and statistical data (OpenDART, ECOS, KOSIS, and data.go.kr) via real API calls, providing factual answers instead of guesses.13-
- AlicenseAqualityDmaintenanceEnables natural language querying of Korean public medical data (data.go.kr) through MCP clients like Claude, providing tools for searching hospitals, drugs, non-payment costs, disease statistics, and more.102MIT
TDQS
Scored across 16 tools
Each tool has a clear, distinct purpose. Tools like search_statistics and search_key_indicators target different data types (general tables vs. key indicators), and browse_categories vs. list_key_indicators similarly avoid overlap. Detailed descriptions ensure no ambiguity.
All tool names follow a consistent verb_noun snake_case pattern (e.g., search_statistics, get_table_metadata, filter_statistics). Convention is uniform across all 16 tools, with no mixing of styles or vague verbs.
16 tools is well-scoped for the domain of Korean statistics. The set covers discovery, browsing, metadata, data retrieval, filtering, aggregation, verification, key indicators, and stored data management without being excessive.
The tool surface covers the full statistical workflow: searching and browsing tables, inspecting metadata, retrieving data, filtering, aggregating, verifying claims, and accessing key indicators. Stored data management and power-user tools round out the offering without significant gaps.