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    MCP server for Korea's DART (Data Analysis, Retrieval and Transfer) electronic disclosure system, operated by the Financial Supervisory Service (FSS). Exposes company disclosures, company profiles, and financial statements via the OpenDART public API.
    3
    9
    MIT
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    An MCP server that provides access to Korea's DART corporate disclosure system, offering 84 tools for retrieving financial statements, periodic reports, and shareholding information. It enables users to programmatically query and analyze official Korean corporate data via the OpenDART API.
    85
    MIT
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    Provides comprehensive access to financial filings from 7,700+ Asian companies through Japan's EDINET and South Korea's DART systems, enabling search, retrieval, and analysis of financial statements, XBRL data, and dimensional breakdowns.
    1
    3
    MIT
  • A
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    MCP server for Korean stock market data (KOSPI/KOSDAQ) and DART disclosures, providing tools to get today's market summary, search stocks, retrieve quotes, rankings, and data URLs. No authentication required.
    2
    MIT
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    Provides real-time San Francisco Bay Area Rapid Transit data, enabling queries about BART schedules, routes, and station information through natural language.
    2
    MIT
  • A
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    quality
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    Provides access to South Korea's DART (Data Analysis, Retrieval and Transfer System) financial disclosure system, enabling users to retrieve corporate information, financial statements, debt summaries, subsidiary investments, employee data, and stock information for Korean companies.
    2
    MIT
  • F
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    Enables AI agents to query Korean listed companies' financial statements, public disclosures, executive information, and shareholder structures in real-time using the DART API.
  • F
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    A read-only MCP server skeleton for Korean stocks data, with tool stubs for stock quotes, orderbooks, and DART filings; all data tools currently return a NOT_IMPLEMENTED error.
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    Computes soil resource concern ratings for an area of interest using USDA Soil Data Access and exposes them as MCP tools, resources, and prompts for AI-assisted conservation planning.
    10
    MIT