QuantConnect
Integrates with QuantConnect's quantitative finance platform to provide historical data retrieval, statistical analysis, portfolio
This QuantConnect MCP server provides AI agents with quantitative finance research capabilities through the QuantConnect platform, offering 40+ tools across nine categories including QuantBook instance management, historical data retrieval, statistical analysis (PCA, cointegration, mean reversion), portfolio optimization with sparse algorithms, universe selection via ETF constituents, alternative data integration, project and file management, backtest execution and analysis, and authentication handling. Built with Python using the FastMCP framework and featuring comprehensive error handling, the implementation supports both local QuantConnect LEAN installations and cloud API access with proper authentication, making it valuable for algorithmic trading research, quantitative analysis workflows, portfolio construction, and building AI-powered financial assistants that need access to professional-grade financial data and analytics tools.
Source
Repository: https://github.com/taylorwilsdon/quantconnect-mcp
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