"A server for finding Korean stock information" matching MCP servers:

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

Provides access to Korean stock market data, including stock listings, daily historical records, and 10-minute intraday candles via FinanceDataReader and Naver APIs. It enables users to search for stocks, retrieve detailed profiles, and calculate technical indicators locally.

MCP server adapter that exposes A-share stock data tools, prompts, and resources via FastMCP, enabling querying of stocks, K-lines, financials, sectors, and market hot spots through natural language.

Enables querying real-time China A-share stock and major market index quotes by stock code or Chinese name, with automatic name resolution and dual free data sources.

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

Provides Korean stock market data, including DART electronic disclosures and KRX trading information, enabling users to query company profiles, financial statements, and stock trade details via MCP clients.

Real-time A-share stock data for AI assistants. Provides real-time stock prices, K-line data, financial indicators, and sector fund flow analysis for Chinese A-share market. Multi-source data validation ensures accuracy.

Provides technical analysis for Korean and US stocks through natural language queries. Enables users to analyze stock charts, search for tickers, and access technical indicators like RSI and MACD within Claude Desktop and other MCP clients.

Provides real-time A-share (Chinese stock market) data through AKShare integration, enabling access to market overviews, company information, real-time quotes, and historical price data for Shanghai and Shenzhen stock exchanges.

Provides free Chinese A-share stock data including real-time quotes, historical K-lines, market scanning, and multi-factor stock screening via BaoStock and Sina Finance APIs.

A Model Context Protocol server providing comprehensive Korean stock market analysis, including financial data, valuation metrics, ESG information, and investment insights.

Provides comprehensive A-share (Chinese stock market) data including stock information, historical prices, financial reports, macroeconomic indicators, technical analysis, and valuation metrics through the free Baostock data source.

An MCP server that exposes DSA's 问股 (Agent Chat / ask-stock) capability as a cross-client tool, allowing users to ask natural-language stock questions and list available strategy skills.

Enables AI assistants like GitHub Copilot to access live stock market data, company information, technical analysis, news, and portfolio analytics.

Enables AI agents to query Korean listed companies' financial statements, public disclosures, executive information, and shareholder structures in real-time using the DART API.

Provides Claude with free stock-market data including quotes, fundamentals, history, news, index top-10 rankings, market movers, and penny-stock screens using public sources like Yahoo Finance and Wikipedia. No API keys or subscriptions required.

Korean tax law for AI agents: search NTS rulings, court and Tax Tribunal decisions; read point-in-time statutes with the Act → Decree → Rule chain and amendment history; basic rules and execution standards; 96 tax treaties with withholding rates; forms and schedules; and verify citations in drafts. Fact-pattern comparison is done by your AI (or optional on-prem/cloud Upstage Solar).

Enables MCP clients like Claude Desktop to search, retrieve, and analyze Korean statistical data from KOSIS OpenAPI.

Provides stock market data and analysis tools using the Finnhub API, including stock prices, financial metrics, news, and historical data.

Enables AI assistants to retrieve live Dhaka Stock Exchange data, including prices for all listed shares, top gainers/losers, and market summary, through natural language queries.