A Model Context Protocol server for an investor agent
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[](https://mseep.ai/app/ferdousbhai-investor-agent) [](https://archestra.ai/mcp-catalog/ferdousbhai__investor-agent) # investor-agent: A Financial Analysis MCP Server ## Overview The **investor-agent** is a Model Context Protocol (MCP) server that provides comprehensive financial insights and analysis to Large Language Models. It leverages real-time market data, fundamental and technical analysis to deliver: - **Market Movers:** Top gainers, losers, and most active stocks with support for different market sessions - **Ticker Analysis:** Company overview, news, metrics, analyst recommendations, and upgrades/downgrades - **Options Data:** Filtered options chains with customizable parameters - **Historical Data:** Price trends and earnings history - **Financial Statements:** Income, balance sheet, and cash flow statements - **Ownership Analysis:** Institutional holders and insider trading activity - **Earnings Calendar:** Upcoming earnings announcements with date filtering - **Market Sentiment:** CNN Fear & Greed Index, Crypto Fear & Greed Index, and Google Trends sentiment analysis - **Technical Analysis:** SMA, EMA, RSI, MACD, BBANDS indicators (optional) The server integrates with [yfinance](https://pypi.org/project/yfinance/) for market data and automatically optimizes data volume for better performance. ## Architecture & Performance **Robust Caching & Error Handling Strategy:** 1. **`yfinance[nospam]`** → Built-in smart caching + rate limiting for Yahoo Finance API 2. **`hishel`** → HTTP response caching for external APIs (CNN, crypto, earnings data) 3. **`tenacity`** → Retry logic with exponential backoff for transient failures This multi-layered approach ensures reliable data delivery while respecting API rate limits and minimizing redundant requests. ## Prerequisi…
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