#investment

Open-source SEC EDGAR toolkit. 11 tools and 7 research prompts covering every major filing type — 10-K, 10-Q, 8-K, Form 4 insider trades, 13F institutional holdings, Form D private placements, Form ADV investment advisers, DEF 14A proxy statements, SC 13D/G ownership, and NPORT fund holdings. Full XBRL financial statement parsing, company screening, and real-time filing feed. No API key, no rate limits, no sign-up. 3,000+ GitHub stars, 2M+ PyPI downloads.

PlusE is the Ultra Data Source for Your Trading AI—a revolutionary Model Context Protocol (MCP) service that transforms noisy market data into AI-ready trading intelligence. Old-school raw historical price is out, our HTTP Streamable MCP service is the best way to power trading AI. With pre-digested real-time financial insights delivered directly to your AI models via HTTP Streamable MCP, you can make smarter trading AI — in 5 minutes, no complex pipelines required. Unlike traditional financial data providers that require custom API integrations, PlusE uses the standard Model Context Protocol delivered via HTTP to seamlessly connect financial data tools directly to your AI models. Our service preprocesses, filters, and condenses massive financial datasets into high-density data abstractions. These pre-digested insights eliminate information overload and enable your trading AI to make faster, more accurate decisions.

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Composer's MCP server lets MCP-enabled LLMs like Claude backtest trading ideas and automatically invest in them for you

The Octagon Investors MCP server provides specialized AI-powered investor information and investment activity analysis capabilities by integrating with advanced investor intelligence agents. Covers comprehensive business intelligence, investment criteria, portfolio analysis, and market research.

A Model Context Protocol (MCP) server for agentic retrieval of financial data. This server leverages YFinance to provide a simple and efficient way to access historical stock prices, dividends, stock splits, company information, and other financial metrics. This MCP server is designed to be used with various LLM applications that support the Model Context Protocol, such as Claude Desktop and Cursor. It allows users to retrieve financial data in a structured way, making it easy to integrate into AI applications.

A Model Context Protocol (MCP) server for agentic retrieval of financial data from Yahoo Finance. This server leverages YFinance to provide a simple and efficient way to access historical stock prices, dividends, stock splits, company information, and other financial metrics. This MCP server is designed to be used with various LLM applications that support the Model Context Protocol, such as Claude Desktop and Cursor. It allows users to retrieve financial data in a structured way, making it easy to integrate into AI applications.

A Model Context Protocol (MCP) server for agentic retrieval of financial data from Yahoo Finance. This server leverages YFinance to provide a simple and efficient way to access historical stock prices, dividends, stock splits, company information, and other financial metrics. This MCP server is designed to be used with various LLM applications that support the Model Context Protocol, such as Claude Desktop and Cursor. It allows users to retrieve financial data in a structured way, making it easy to integrate into AI applications.

Interactive dashboard for analyzing ETFs using both real time API data and historical data pulled through yfinance endpoints

A Model Context Protocol (MCP) implementation for Financial Modeling Prep, enabling AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights.

Financial MultiAgent Colaboration with MCP Server with Tools

finance-tools-mcp: A Financial Analysis MCP Server https://github.com/VoxLink-org/finance-tools-mcp Overview The finance-tools-mcp , modified from 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, news, and advanced analytics to help users obtain: Detailed ticker reports including company overview, news, key metrics, performance, dates, analyst recommendations, and upgrades/downgrades. Options data highlighting high open interest. Historical price trends for stocks. Essential financial statements (income, balance sheet, cash flow) formatted in millions USD. Up-to-date institutional ownership and mutual fund holdings. Current and historical CNN Fear & Greed Index data and trend analysis. Prompts related to core investment principles and portfolio construction strategies. Earnings history and insider trading activity. Breaking world news from CNBC. FRED series search results. Technical indicators using ta-lib-python.

MCP server to browse India's stock market

An MCP server that runs AI-driven venture capitalist agents (Fred Wilson, Peter Thiel, etc.), whose thinking is continuously enriched by Octagon Private Markets' real-time deals, valuations, and deep research intelligence. Use it to spin up programmable "VC brains" for pitch feedback, diligence simulations, term sheet negotiations, and more.

Model Context Protocol (MCP) to enable AI LLMs to trade using MetaTrader platform

Mirror of

Extensive real-time Public Market (stocks, financial data, SEC, transcripts, 13-F) & Private Market Intelligence (private companies, funding, investors, M&A, debts, deep research). Perfect for investors, asset managers, & developers. For full access to Octagon Agents, sign up here: https://app.octagonai.co