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Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
load_all_tickers

Loads all ticker symbols and names for KOSPI and KOSDAQ into memory.

Returns: Dict[str, str]: A dictionary mapping tickers to stock names. Example: {"005930": "삼성전자", "035720": "카카오", ...}
get_stock_ohlcv

Retrieves OHLCV (Open/High/Low/Close/Volume) data for a specific stock.

Args: fromdate (str): Start date for retrieval (YYYYMMDD) todate (str): End date for retrieval (YYYYMMDD) ticker (str): Stock ticker symbol adjusted (bool, optional): Whether to use adjusted prices (True: adjusted, False: unadjusted). Defaults to True. Returns: DataFrame: >> get_stock_ohlcv("20210118", "20210126", "005930") Open High Low Close Volume Date 2021-01-26 89500 94800 89500 93800 46415214 2021-01-25 87300 89400 86800 88700 25577517 2021-01-22 89000 89700 86800 86800 30861661 2021-01-21 87500 88600 86500 88100 25318011 2021-01-20 89000 89000 86500 87200 25211127 2021-01-19 84500 88000 83600 87000 39895044 2021-01-18 86600 87300 84100 85000 43227951
get_stock_market_cap

Retrieves market capitalization data for a specific stock.

Args: fromdate (str): Start date for retrieval (YYYYMMDD) todate (str): End date for retrieval (YYYYMMDD) ticker (str): Stock ticker symbol Returns: DataFrame: >> get_stock_market_cap("20150720", "20150724", "005930") Market Cap Volume Trading Value Listed Shares Date 2015-07-24 181030885173000 196584 241383636000 147299337 2015-07-23 181767381858000 208965 259446564000 147299337 2015-07-22 184566069261000 268323 333813094000 147299337 2015-07-21 186039062631000 194055 244129106000 147299337 2015-07-20 187806654675000 128928 165366199000 147299337
get_stock_fundamental

Retrieves fundamental data (PER/PBR/Dividend Yield) for a specific stock.

Args: fromdate (str): Start date for retrieval (YYYYMMDD) todate (str): End date for retrieval (YYYYMMDD) ticker (str): Stock ticker symbol Returns: DataFrame: >> get_stock_fundamental("20210104", "20210108", "005930") BPS PER PBR EPS DIV DPS Date 2021-01-08 37528 28.046875 2.369141 3166 1.589844 1416 2021-01-07 37528 26.187500 2.210938 3166 1.709961 1416 2021-01-06 37528 25.953125 2.189453 3166 1.719727 1416 2021-01-05 37528 26.500000 2.240234 3166 1.690430 1416 2021-01-04 37528 26.218750 2.210938 3166 1.709961 1416
get_stock_trading_volume

Retrieves trading volume by investor type for a specific stock.

Args: fromdate (str): Start date for retrieval (YYYYMMDD) todate (str): End date for retrieval (YYYYMMDD) ticker (str): Stock ticker symbol Returns: DataFrame with columns: - Volume (Sell/Buy/Net Buy) - Trading Value (Sell/Buy/Net Buy) Broken down by investor types (Financial Investment, Insurance, Trust, etc.)
get_index_ohlcv

Retrieves OHLCV data for a specific index.

Args: fromdate (str): Start date for retrieval (YYYYMMDD) todate (str): End date for retrieval (YYYYMMDD) ticker (str): Index ticker symbol (e.g., 1001 for KOSPI, 2001 for KOSDAQ) freq (str, optional): d - daily / m - monthly / y - yearly. Defaults to 'd'. Returns: DataFrame: >> get_index_ohlcv("20210101", "20210130", "1001") Open High Low Close Volume Trading Value Date 2021-01-04 2874.50 2946.54 2869.11 2944.45 1026510465 25011393960858 2021-01-05 2943.67 2990.57 2921.84 2990.57 1519911750 26548380179493 2021-01-06 2993.34 3027.16 2961.37 2968.21 1793418534 29909396443430 2021-01-07 2980.75 3055.28 2980.75 3031.68 1524654500 27182807334912 2021-01-08 3040.11 3161.11 3040.11 3152.18 1297903388 40909490005818

Prompts

Interactive templates invoked by user choice

NameDescription
search_stock_data_promptPrompt template for searching stock data.
get_stock_data_promptPrompt template for retrieving stock data.

Resources

Contextual data attached and managed by the client

NameDescription
stock://tickers
stock://format-guide
stock://popular-tickers

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