Fear & Greed
Provides real-time access to the CNN Fear & Greed Index for the US stock market.
About
This Model Context Protocol (MCP) server delivers real-time US stock market sentiment data via the CNN Fear & Greed Index. It fetches current market sentiment scores (0-100), offers historical comparisons (previous close, week, month, year), and provides detailed breakdowns of individual component scores such as market momentum, stock price strength, put/call options ratio, market volatility (VIX), junk bond demand, and safe haven demand. Designed for seamless integration with various MCP clients like VS Code, Cursor, and Claude Desktop, it allows users to consume market data in either structured markdown or raw JSON formats, making it ideal for financial analysis and AI-driven applications.
Key Features
- Detailed access to individual market indicators and their scores
- Real-time Fear & Greed Index (0-100 score)
- Historical comparisons (previous close, week, month, year data)
- Flexible output formats (structured markdown or raw JSON)
- 4 GitHub stars
Use Cases
- Integrating real-time market sentiment into AI assistant workflows
- Monitoring US stock market sentiment for investment analysis
- Developing applications that require current and historical market mood indicators
