ferdousbhai/investor-agent

What it solves

It provides a standardized way for AI agents to access real-time and historical financial data, enabling them to perform deep research for long-term investing.

How it works

The project is implemented as a Model Context Protocol (MCP) server. It exposes a set of specialized tools that an AI client can call to fetch stock fundamentals, price history, options contracts, market movers, earnings calendars, and technical indicators like RSI and MACD.

Who it’s for

Long-term investors and developers building AI-powered financial research tools.

Highlights

• Comprehensive Financial Data: Access to stock fundamentals, analyst ratings, and ownership data.
• Technical Analysis: Built-in tools for calculating SMA, EMA, RSI, MACD, and Bollinger Bands.
• Market Sentiment: Integration with the Fear & Greed index for both stock and crypto markets.
• Flexible Deployment: Can be run locally via npx or deployed as a remote server using Cloudflare Workers.