Pykrx MCP
An MCP server based on pykrx, providing Korean stock market data query functions for AI agents, supporting multi - dimensional analysis of stock prices, financial indicators, investor transactions, short - selling data, etc.
rating : 2 points
downloads : 5.3K
What is pykrx - mcp?
pykrx - mcp is a server based on the Model Context Protocol (MCP), specifically designed to provide Korean stock market data for AI assistants (such as ChatGPT and Claude). It allows users to query various financial data of the three major Korean exchanges (KOSPI, KOSDAQ, KONEX) using natural language, without the need to memorize complex API syntax.How to use pykrx - mcp?
Through simple configuration, integrate the pykrx - mcp server into Claude Desktop, and then you can inquire about stock data just like chatting. For example, directly ask "What is the stock price of Samsung Electronics in the last month?" or "How did the KOSPI index perform today?".Applicable scenarios
Suitable for investors, analysts, students, and anyone who needs to quickly obtain information on the Korean stock market. Whether for investment analysis, market research, academic projects, or daily investment decisions, the required data can be easily obtained through the AI assistant.Main features
Stock data
Provides query functions for individual stock prices, trading volumes, market capitalizations, and financial indicators (PER, PBR, EPS, etc.).
Index data
Query the price trends, constituent stocks, and fundamental indicators of market indices such as KOSPI and KOSDAQ.
Investor analysis
Analyze the buying and selling trends and fund flows of different groups such as institutional, foreign, and individual investors.
Short - selling data
Provides data such as individual stock short - selling trading volumes, short - selling balances, and short - selling ratios to help identify market sentiment.
ETF data
Query the prices, trading volumes, and basic information of exchange - traded funds (ETFs).
Natural language interface
There is no need to learn complex commands. All data can be queried using daily language, reducing the usage threshold.
Advantages
User - friendly: Query using natural language without a technical background
Comprehensive data: Covers various data types of the three major Korean exchanges
Real - time: Based on official KRX data, the information is timely and accurate
Easy integration: Easily integrate into AI platforms such as Claude and ChatGPT
Free and open - source: Based on the MIT license, it can be freely used and modified
Limitations
Only supports Korean stock market data and does not include other international markets
Requires Claude Desktop or an AI platform that supports MCP to use
The data update frequency is limited by the KRX data release time
Advanced analysis functions require users to combine queries by themselves
How to use
Install pykrx - mcp
Install with one click through the MCP Registry or manually install using pip/uv.
Configure Claude Desktop
Modify the configuration file of Claude Desktop and add the pykrx - mcp server configuration.
Restart and start using
Restart Claude Desktop, and then you can directly inquire about stock data in the chat.
Usage examples
Individual stock price analysis
An investor wants to understand the recent market performance of Samsung Electronics, including price trends and trading volume changes.
Financial indicator comparison
An analyst needs to compare the valuation levels of several technology companies to make investment decisions.
Market sentiment analysis
A trader wants to understand the views of foreign capital on the Korean market and judge market sentiment through the buying and selling behavior of foreign capital.
Short - selling monitoring
A risk manager needs to monitor stocks with abnormally active short - selling activities in the market.
Frequently Asked Questions
Is pykrx - mcp free?
Do I need programming knowledge to use it?
What is the data update frequency?
Does it support real - time stock prices?
Can it be used in ChatGPT?
Is the data accurate?
Related resources
GitHub repository
Project source code and latest updates
pykrx library
Underlying data acquisition library
MCP official documentation
Model Context Protocol technical documentation
Problem feedback
Report problems or submit suggestions

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