io.github.Rishav0123/sentimatix MCP Server

Sentimatix provides real-time NSE/BSE stock sentiment, news NLP, technical analysis, and RAG search via the Model Context Protocol (MCP) server. It integrates with AI agents and retail traders, enabling live sentiment and signals to flow into Claude, Cursor, and similar systems.

🛠️ Key Features

• Real-time NSE/BSE stock sentiment and signals
• News NLP integrated with Model Context Protocol (MCP)
• RAG search for contextual stock information
• Direct integration with AI agents (Claude, Cursor, etc.)
• Readme excerpt highlights and modular app structure

🚀 Use Cases

• AI agents consuming live market sentiment for decision support
• Retail traders embedding stock signals into workflows
• Contextual reasoning with up-to-date news and technical indicators
• MCP-backed plug-in for multi-agent pipelines

⚡ Developer Benefits

• Clear MCP server interface for agent integration
• FastAPI REST components for data access (news, sentiment, entities, sector signals)
• Modular app layout with MCP-focused endpoints

⚠️ Limitations

• Dataset scope limited to NSE/BSE market sentiment and related signals
• Real-time data quality depends on external feeds and NLP models
• Documentation in excerpts; full API docs available in source repos