Overview

mcprice provides AI agents with 25 tools for real-time access to stock, crypto, options, and macroeconomic data from sources like yfinance, Binance, and SEC EDGAR. It covers pricing, signals, intelligence, and advanced analytics without requiring API keys. Free forever, it enables direct integration for precise financial querying in agent workflows.

Key Capabilities

Price tools include get_price for single asset quotes, get_prices_bulk for multiple tickers, get_crypto_price for cryptocurrencies, crypto_top_movers for gainers/losers, and portfolio_pnl for position returns. Signal tools offer fear_greed_index for market sentiment, earnings_calendar for upcoming reports, technical_signals for indicators like RSI/MACD, and insider_flow_scan for trading activity. Intelligence tools deliver financial_news feeds, deepear_signals for deep analysis, and news_sentiment_score for polarity. Analytics tools provide stock_correlation for pair/sector analysis, options_analysis for Greeks and strategy payoffs, geopolitical_energy_risk for oil trade signals, stock_deep_data for fundamentals, and options_chain for IV and open interest.

Use Cases

An AI trading bot fetches price_snapshot and technical_signals to execute buys on AAPL when RSI dips below 30. A portfolio manager runs stock_correlation to identify hedges between TSLA and XOM during energy volatility, then checks portfolio_pnl. A crypto analyst scans crypto_funding_rates and crypto_top_movers to spot leveraged unwind risks in BTC perpetuals. A researcher queries stock_deep_data and earnings_calendar to model EPS surprises for sector bets.

Who This Is For

Developers building financial AI agents or bots who need no-key data integration. Quantitative analysts and fintech engineers querying markets programmatically. Intermediate users familiar with MCP servers and Python for tool chaining.