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McPortfolio
Provides 9 specialized tools for LLM-driven portfolio optimization using natural language, covering strategies from mean-variance to machine learning approaches.
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Empower Large Language Models (LLMs) to perform sophisticated portfolio optimization through natural language. McPortfolio acts as an MCP server, offering 9 specialized tools that translate user requests into actions using the PyPortfolioOpt library and CVXPY solver. This allows for diverse investment strategies, from classic Markowitz mean-variance optimization and efficient frontier analysis to modern techniques like Hierarchical Risk Parity and the Black-Litterman model, all driven by intuitive language commands without requiring direct coding from the end-user.
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