mcportfolio

Name: mcportfolio
Availability: InStock
Author: Edward Brandler

McPortfolio is a tool for advanced portfolio optimization using natural language, allowing users to work without writing code. It offers 9 specialized MCP tools that cover everything from classic mean-variance optimization to modern machine learning approaches. This enables investors to allocate their capital in a way that balances risk and return effectively.

GitHub

GitHub Stars

User Rating

Not Rated

Favorites

Views

Forks

Issues

Technical Information

Programming Languages

PythonPrimary Language

System Requirements

No specific requirements are documented

Maintenance Status

Active

GitHub Topics

algorithmic-tradingasset-allocationblack-littermanconvex-optimizationcvxpyefficient-frontierfinancefinancial-machine-learninghierarchical-risk-parityinvestment-analysisllm-financellm-toolsmcp-servermodel-context-protocolportfolio-managementportfolio-optimizationpythonquantitative-financerisk-managementsharpe-ratio

Author Information

Edward Brandler

Hackney

GitHub

Followers

Repositories

Gists

Total Contributions

Related MCPs

sec-edgar-mcp

121

A SEC EDGAR MCP (Model Context Protocol) Server

Python

beanquery-mcp

Beancount MCP Server is an experimental implementation that utilizes the Model Context Protocol (MCP) to enable AI assistants to query and analyze Beancount ledger files using Beancount Query Language (BQL) and the beanquery tool.

Python

holoviz-mcp

HoloViz MCP is a comprehensive Model Context Protocol server that provides intelligent access to the HoloViz ecosystem. It enables AI assistants to help you build interactive dashboards and data visualizations using libraries like Panel, hvPlot, and datashader, enhancing the efficiency of data analysis.

Python