Automate securities analysis and market data collection through a specialized server for financial insights.
Sponsored
This project provides a Python-based framework for comprehensive securities analysis, leveraging the Model Context Protocol (MCP). It integrates a FastMCP server to bundle various tools for data collection, parsing, analytics, and visualization. This enables local or remote consumption by any MCP-aware client, such as Claude Desktop or LangChain, facilitating the semi-autonomous generation of deep research reports by combining market data, SEC filings, news sentiment, and technical analysis with advanced AI capabilities.
Key Features
01FastMCP server exposing market data, news, charts, SEC filings, and research tools
02Real-time and historical market data integration via yfinance and OpenBB
03Automatic downloading and parsing of SEC filings for fundamental data
04News and social sentiment analysis, including Reddit scraping
05Hundreds of technical analysis indicators from pandas_ta and TA-Lib
062 GitHub stars
Use Cases
01Automating data collection and analysis workflows for financial assets
02Generating deep research reports on securities using AI-powered clients
03Integrating diverse market data and analytical tools with MCP-aware AI agents
