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io.github.rubatoyd/kosis-openapi-mcp

by rubatoyd

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    • A
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      A
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      C
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      Enables searching, retrieving, and analyzing South Korean national statistics through the KOSIS OpenAPI, including trend, change-rate, and CAGR calculations. Results can be explored by topic or organization and exported to Excel or CSV.
      7
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    • A
      license
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      quality
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      Enables browsing, searching, and pulling time series from Statistics Korea's KOSIS database, covering ~100,000 tables on population, prices, employment, trade, and industry.
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    • A
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      Enables querying Bank of Korea ECOS economic statistics via Open API, including searching tables, retrieving time series data, and accessing key indicators.
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    • A
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      Enables natural language querying of Korean statistical data from KOSIS, including population, employment, GDP, housing prices, and more, with support for regional and trend analysis.
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    • A
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      quality
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      Enables 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.
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    TDQS

    A4/5.0

    Scored across 11 tools

    Disambiguation5/5

    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.

    Naming Consistency4/5

    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.

    Tool Count5/5

    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.

    Completeness5/5

    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.

    Maintenance

    ActivityActive
    ResponsivenessUnresponsive