"author:sathanandhh" matching MCP servers:

MCP server that fetches Bombay Stock Exchange filings, converts PDFs into clean Markdown, and exposes search/read tools for AI agents to analyze financial documents.

MCP server for quantitative portfolio optimization and analysis, providing tools for market data ingestion, covariance estimation, portfolio construction (mean-variance, Black-Litterman, HRP, CVaR, regularized), risk attribution, and statistical analysis to AI assistants.

Provides quantitative analytics and statistical inference for financial data, including Monte Carlo DCF valuation, risk metrics, and trend regression diagnostics, enabling natural language-driven financial analysis via Claude Desktop.

Enables reverse DCF/FCFF valuations, solving for required margins, growth, or reinvestment to achieve a target enterprise value, with forward DCF, consistency validation, feasibility grids, and automated evals.

Enables LLM agents to run iterative volatility analytics, from pre-flight statistical gates through GARCH-family model fitting, VaR/ES risk metrics, and Basel backtesting, with a feedback loop guiding each step.