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solid-hwan

법원경매 데이터 MCP

by solid-hwan

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    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to query and analyze Korean property data—court auctions, actual transactions, subscription announcements, price trends, and loan/tax calculations—through MCP tools.
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables LLM clients to ask plain-language questions about Korean public auction property data from the 온비드 OpenAPI, including normalized pricing, location, and failed-sale history.
      2
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    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables read-only search and retrieval of KAMCO Onbid public auction property data, including listings, details, and bidding results, using user-provided API keys.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to query Korean apartment real-estate data, including official transaction prices, jeonse ratios, and AI price forecasts for 45,000+ complexes.
      1
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to look up Korean businesses nationwide by region and industry, retrieve public-procurement vendor cards with contract records, and find open public bids from KONEPS, Defense e-Procurement, LH, K-water and Nuri-jangteo. It is read-only and requires no authentication, returning up to five results per tool call on the free tier.
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    TDQS

    B3/5.0

    Scored across 7 tools

    Disambiguation4/5

    Each tool targets a distinct stage: search (one-page view), detail (single case), collect (bulk job), job_status (job monitoring), codes (lookup), coverage (meta/limits), export (output). The only mild overlap is auction_search vs auction_detail, but their descriptions clearly separate listing queries from case-level detail.

    Naming Consistency4/5

    All seven tools share the 'auction_' prefix, giving a strong predictable pattern. Minor deviation: some use verbs (collect, export, search) while others use nouns (detail, codes, coverage, job_status), but the set remains readable and coherent.

    Tool Count5/5

    Seven tools is well-scoped for a data collection pipeline: discovery, collection, monitoring, export, and reference lookups. Each tool earns its place with no redundant entries.

    Completeness4/5

    The surface covers the full workflow: codes → search → detail → collect → job_status → export, plus a coverage/limits tool. A gap exists in job management — no list_jobs to discover job_ids and no cancel/abort operation — which agents may need for recovery.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues