"Historical cryptocurrency market data" matching MCP servers:

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.

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.

Stores and retrieves completed defect-triage analyses to find similar past defects during new ticket triage. Provides tools for storing, searching, updating, and listing historical defect records with hybrid retrieval (dense + BM25).

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.

Enables searching and retrieving historical records from the Library of Congress, including newspapers, photos, maps, manuscripts, audio, and film, via the Model Context Protocol.

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

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.

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

Provides live and historical market data for Bitcoin and any Binance pair via two read-only tools: current price snapshot and historical OHLC candles.

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

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.

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

Enables Claude to access real-time crypto prices, forex rates, and market sentiment data through free public APIs with no keys required.

Enables Claude or any MCP host to access live market data—quotes, history, technical indicators, and NYSE status—and answer natural-language questions about stocks.

Gives AI assistants live Indian market data without any API keys, spanning NSE quotes and indices, option chains with Greeks, max pain and OI analytics, company financials, shareholding and corporate actions, plus mutual fund NAVs and trailing returns. It also ships research, market-brief and options-positioning prompts so users can compare stocks, trace sector leadership or size up an expiry through natural language.

Enables product search, store price comparison, basket comparison, and price history review using Market Fiyatı data through a stdio MCP server.

Aggregates prediction market data from 5 major platforms (Manifold, Polymarket, Metaculus, PredictIt, Kalshi), enabling users to search markets, compare odds across platforms, detect arbitrage opportunities, and track predictions through natural language.