Agentic Stock Analyst

Example Use Cases

• 1

  Perform multi-step financial analysis combining stock prices and news.

• 2

  Structured, reasoning-based outputs linking market data with news sentiment.

• 3

  Modular, Pydantic-validated tools for stock data retrieval and summarization.

Description

This MCP server powers an autonomous financial analyst backend that integrates stock price data, news headlines, and summarization tools to deliver structured, reasoning-based stock analysis. Built with FastAPI and Gemini LLM, it supports multi-step agent loops and exposes tools for fetching stock prices, correlating news with price changes, and summarizing headlines. The system is designed for resilience, transparency, and extensibility, enabling advanced stock research workflows via a Chrome extension or other clients.