FinSight is a complete, end-to-end implementation of the Model Context Protocol (MCP), designed to serve as an agentic financial research assistant specifically for the Indian stock market. It operates with a distinct MCP Server component, which exposes stock market functionalities through three MCP primitives: Tools, Resources, and Prompts. The MCP Client then connects to this server, discovers available capabilities, and facilitates a conversational chat loop powered by a local Ollama Large Language Model. Built entirely with free and and open-source tools like Ollama and yfinance, FinSight demonstrates how MCP modularizes AI capabilities, making them reusable and composable across various client applications.
主要功能
01Agentic Indian stock market research assistant
02Multi-stock comparison with side-by-side metrics and auto-rankings
030 GitHub stars
04Automated deep analysis reports using parameterised MCP prompt templates
05Real-time stock price and fundamental data fetching via yfinance
06Keyword router for direct tool calls and LLM for complex query interpretation
