io.github.rubatoyd/kosis-openapi-mcp
Related Servers
Alternatives to io.github.rubatoyd/kosis-openapi-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables querying Bank of Korea ECOS economic statistics via Open API, including searching tables, retrieving time series data, and accessing key indicators.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.814 npm16MIT
- 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
- AlicenseAqualityDmaintenanceEnables MCP clients like Claude Desktop to search, retrieve, and analyze Korean statistical data from KOSIS OpenAPI.161MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to retrieve real-time official Korean statistics from the KOSIS database through natural language queries, with source citations.MIT
- AlicenseNot gradedqualityDmaintenanceEnables exploration and interaction with South Korea's Public Data Portal (OpenAPI) through keyword search, standard documentation retrieval, and direct API endpoint calls with automatic service key injection.11Apache 2.0
TDQS
Scored across 11 tools
Each tool has a single clear role: table search vs indicator search, table data vs indicator data, metadata vs survey explanation, data retrieval vs file export. The detailed descriptions explicitly distinguish the similar indicator/table families, so an agent can reliably choose between them.
All tools share the kosis_ prefix and snake_case, and the search/data pairs are parallel (kosis_search/kosis_indicator_search, kosis_data/kosis_indicator_data). However, the second part mixes bare verbs (search, list, explain, collect) with bare nouns (meta, data, citation, guide), so it is not a strict verb_noun convention.
11 tools is well within the ideal range and each one earns its place: status/guide for orientation, search/explain/list/meta/data for the table workflow, indicator_search/indicator_data for the indicator workflow, plus collect and citation for output and scholarship.
For a read-only statistical data API, the surface is complete: users can discover tables by search or tree, read survey descriptions and table metadata, fetch full table data with automatic axis/period handling, access major indicators, export to files, and generate citations. No obvious dead ends or missing core operations remain.