HPSILab MCP

What it does

HPSILab MCP is an 8-tool MCP server that brings institutional-grade options analytics directly into AI agents and coding environments like Claude, Cursor, and Windsurf. Connect once, Ask your AI agent: analyze_stock NVDA, Full Report — structured markdown research note synthesizing all signals Remote MCP endpoint: https://hpsilab.com/mcp Python SDK: pip install hpsilab-mcp Website: https://hpsilab.com GitHub: https://github.com/haiyunsky/hpsilab-mcp-server

9-tool Model Context Protocol server for quantitative finance, stock analysis, options analytics, implied volatility radar, Monte Carlo stock simulation, AI prediction signals, pre-trade risk scanning, research reports, chart visualization, and backtesting.

The hpsilab-mcp-server provides 8 institutional-grade quantitative finance tools for analyzing stocks via MCP or REST. All tools accept a single symbol parameter (e.g., "NVDA" , "AAPL" , "SPY" ). analyze_stock — Aggregates AI prediction, IV radar, options pressure, Monte Carlo simulation, and backtesting into a single bull/bear/neutral verdict with a confidence score (0–100) and supporting evidence. get_ai_prediction — Ensemble AI directional prediction (gradient-boosted trees + LSTM + quantum VQC) for a stock's next-session move, including up/down probability, model votes, market regime, and signal strength. get_iv_radar — Returns ATM IV, IV rank/percentile, risk reversal direction, and…from glama.ai

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