Fear & Greed Index

Provides real-time access to CNN's Fear & Greed Index for US stock market sentiment analysis, retrieving current composite scores and seven individual market indicators including S&P 500 momentum, options ratios, and volatility measures with historical comparisons.

This MCP server provides AI assistants with real-time access to the CNN Fear & Greed Index for US stock market sentiment analysis, built using TypeScript with the Model Context Protocol SDK and comprehensive market data fetching from CNN's production API. The implementation offers a single tool that retrieves the current composite Fear & Greed Index score (0-100 scale) along with seven individual market indicators including S&P 500 momentum, stock price strength and breadth, put/call options ratios, VIX volatility measures, junk bond demand, and safe haven demand, with historical comparisons for previous close, week, month, and year periods. Built with user-agent rotation for reliable data access, Zod schema validation for type safety, and flexible deployment options supporting both stdio and HTTP/SSE transports, it serves financial analysts needing conversational access to market sentiment data, traders requiring AI-assisted market psychology insights, and developers building financial applications that integrate real-time fear and greed metrics into automated decision-making workflows.