ferdousbhai/investor-agent

What it solves

This project provides a financial research toolset for long-term investors, allowing AI agents to access real-time and historical stock market data. It bridges the gap between LLMs and live financial markets by providing a set of structured tools for fundamental and technical analysis.

How it works

It is implemented as a Model Context Protocol (MCP) server. This means it can be plugged into any MCP-compatible AI client. It provides several specialized tools for fetching stock fundamentals, historical price data, and market sentiment indicators like the fear and greed index.

Who it’s for

Long-term investors and developers building AI-driven financial research agents that need reliable access to stock market data and technical indicators.

Highlights

• Comprehensive Stock Data: Access to price, financials, earnings, ownership, and analyst ratings.
• Technical Analysis: Built-in support for SMA, EMA, RSI, MACD, and Bollinger Bands.
• Technical Indicators: Ability to fetch options contracts and upcoming earnings calendars.
• Flexible Deployment: Can be run locally via npx or deployed as a remote server on Cloudflare Workers.