"A server for retrieving stock market data" 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 real-time market data tools (quotes, news, earnings calendar, watchlist scanner, and composite analysis) for AI agents via Finnhub, with optional Alpaca broker integration and graceful degradation.

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

Live market data for AI agents. 8 tools: real-time crypto prices, OHLCV candles, order books, market cap rankings, trending coins, technical analysis (RSI/SMA/z-score), asset comparison, and Fear & Greed index. Zero API keys, zero dependencies.

MCP server exposing 43 financial data tools for A-share, HK, US stocks, crypto, and market news via open-stock-data.

Indian stock market (NSE & BSE) MCP server with 55 tools: live quotes, financials, technicals, a 326-ratio screener, FII/DII flows, option chains with IV, parsed annual reports and concall transcripts, IPOs and portfolio tracking for ~8,200 stocks.

Provides comprehensive data for A-shares, Hong Kong, and US stocks alongside cryptocurrency markets, supporting technical indicators, news, and financial statements. It features automatic failover across multiple data sources to ensure reliable access to real-time and historical market information.

Provides read-only real-time market data, including snapshots, quotes, candlesticks, order book, tickers, and security search, from the Futu OpenAPI to MCP clients like Codex.

Real-time stock quotes, batch quotes, and K-line (candlestick) data for A-share (Shanghai/Shenzhen), Hong Kong, and US markets. Covers 5 tools: stock_quote, stock_quote_batch, kline, market_status, and market_summary.

Provides live cryptocurrency market data from over 100 exchanges, enabling AI agents to fetch prices, order books, funding rates, and more for trading analysis and arbitrage opportunities.

Provides access to Crypto APIs Market Data, enabling listing supported assets, fetching exchange rates, and retrieving asset details.

Local-first Taiwan market evidence workbench for AI agents with persistent Watchlists, governed MCP, auditable evidence, and explicit execute-once retrieval. GitHub Repository URL

Enables Claude to read Moscow Exchange market data and T-Invest brokerage account data, including quotes, candles, order books, dividends, portfolio, and operations. It is read-only and does not place orders.

An MCP server providing real-time market data, technical analysis, prediction market odds, and strategy backtesting for crypto, equities, and prediction markets.

Enables natural language queries for stock market data via the Rice Business Stock Market Data Portal, with Rice University email verification for access control.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Provides live cryptocurrency market data including spot prices, OHLCV candles, order books, funding rates, and technical indicators via public exchange APIs.

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.

Enables Claude to read Indonesia Stock Exchange (IDX/BEI) stock prices, compare stock performance, and calculate personal portfolio values directly in conversation. It is read-only and provides market status, historical returns including dividends, and portfolio warnings without connecting to brokerage accounts.

Enables LLM agents to fetch live Yandex Market data via plain HTTP, with honest labeling of prices (pay-card vs plain vs discounted), sponsored tiles, seller and model-group ratings, reviews, questions, and seller legal details. It avoids common scraped-data traps such as misleading discounts, captcha pages, and cross-border or conditional offers.