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Deliver institutional-grade equity intelligence and confidence-weighted investment verdicts for LLMs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "equity-intel-mcp" yet — see the docs or source repo.
Use equity-intel-mcp to analyze NVIDIA (NVDA). Summarize insider trading, superinvestor holdings, analyst consensus, options market signals, and valuation, then provide a confidence-weighted bullish/neutral/bearish verdict.
A structured stock analysis with multi-factor signal summaries, key evidence, and a final confidence-weighted verdict.
Use equity-intel-mcp to compare Tesla (TSLA) and Ford (F) across insider trading, institutional holding changes, analyst views, options sentiment, and valuation, then determine which stock looks more attractive right now.
A comparison report highlighting differences across key signals and concluding which stock appears relatively more attractive.
Use equity-intel-mcp to create a concise investment research brief on Apple (AAPL) for non-specialist executives, focusing on market consensus, capital flows, whether valuation looks expensive, and the main risks to watch.
A concise executive-friendly brief summarizing the core view, major risks, and decision-oriented takeaways.
Analyze markets with real-time prices, fundamentals, filings, and insider trading data.
Analyze stocks and trading signals across fundamentals, options, news, and sentiment.
Analyze stocks and investment opportunities using Graham and Buffett principles.
Fetch company, profit, and shareholding data for stock fundamental analysis.
Query A-share data, filings, screening, hot topics, and LOF arbitrage naturally.
Research stocks with financial data, analytics, DCF, AI commentary, and portfolio tools.