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mcp-dart

by agentladle
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Python
Remote

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      pipeworx-io
      A
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      B
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    • OpenDART MCP Server

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      D
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    • MCP OpenDART

      ChangooLee
      F
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      C
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      maintenance
      Enables AI assistants to access South Korea's financial disclosure system (OpenDART), allowing users to retrieve corporate financial reports, disclosure documents, shareholder information, and automatically extract and search financial statement notes through natural language queries.
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    • opendart-mcp-server

      SongHyojun0228
      A
      license
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      quality
      D
      maintenance
      Enables AI agents to access Korean corporate disclosure data from DART, allowing natural language queries about companies, financial statements, and disclosures.
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    • Korean DART MCP

      YvesNomura
      A
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      quality
      A
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      Enables AI assistants to search Korean DART corporate disclosures, financial statements, ownership filings, and fully parsed XBRL, while converting HWP/PDF attachments into markdown. It also provides analyst-style frames such as insider trading signals, accounting-risk scoring, and Buffett-style quality checklists for comparing companies.
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    • Korean DART MCP

      yusukefontana
      A
      license
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      quality
      A
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      Enables AI assistants to query and analyze Korean OpenDART disclosures, financial statements, shareholding changes, XBRL data, insider trading signals, accounting-risk scores, and Buffett-style quality metrics, while converting HWP/PDF attachments into markdown for natural-language research.
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.7/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool targets a distinct task: company lookup, filing listing, downloading/parsing, table of contents retrieval, page reading, and keyword search. There is no overlap in functionality.

    Naming Consistency4/5

    Most tools follow a verb_noun pattern (search_dart_company, list_dart_filings, download_dart_report, get_report_toc, get_report_pages). One tool (keyword_search) uses a noun_verb structure, which is a minor deviation but still understandable.

    Tool Count5/5

    Six tools cover the core workflow for DART financial filings: search company, list filings, download, get structure, read pages, and search within. The count is well-scoped for the domain.

    Completeness5/5

    The tool set provides comprehensive coverage for a read-only financial filings system: find company, list filings, download/parse, navigate structure, read content, and search. No obvious gaps for the intended purpose.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources