Twitter Market Sentiment Server

Example Use Cases

• 1

  Analyze real-time market sentiment based on Twitter data for specific stock symbols.

• 2

  Track and identify market trends and correlated topics across multiple stocks.

• 3

  Monitor watchlists with symbol-specific sentiment and price-sentiment correlation in real-time.

Description

This MCP server leverages Twitter API v2 to perform stock symbol-specific sentiment analysis, track price mentions, and identify market trends in real-time. It supports multi-stock and sector-wide sentiment tracking, enabling users to monitor market mood and trending topics effectively. The server is designed for deployment with Smithery and offers API endpoints for sentiment analysis, trend analysis, and market monitoring.