QuantConnect platform integration with AI assistants for algorithmic trading project management, backtesting, and API access through MCP
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<div align="center"> # ◆ QuantConnect MCP Server [](https://python.org) [](https://github.com/fastmcp/fastmcp) [](LICENSE) [](https://github.com/psf/black) [](https://mypy.readthedocs.io/) [](https://pepy.tech/projects/quantconnect-mcp) **Production-ready Model Context Protocol server for QuantConnect's algorithmic trading platform** *Integrate QuantConnect's research environment, statistical analysis, and portfolio optimization into your AI workflows. Locally hosted, secure & capable of dramatically improving productivity* [◉ Quick Start](#-quick-start) • [◉ Documentation](#-comprehensive-api-reference) • [◉ Architecture](#-architecture) • [◉ Contributing](#-contributing) </div> <details open> <summary>Demo – Claude</summary> <div align="center"> <video width="832" src="https://github.com/user-attachments/assets/61e96e0e-05b2-482b-8fe3-ccf078d64cc5"></video> </div> </details> --- ## ◈ Is this crazy? <div align="center"> <img width="25%" height="25%" alt="image" src="https://github.com/user-attachments/assets/f282cb1e-7fde-4efd-b28c-2656c9f48fea" /> </div> Maybe? Either way, the world is changing and this is where we're at. Out of the box, QuantConnect MCP provides you with: - **Full Project Lifecycle**: `Create`, `read`, `update`, `compile`, and manage QuantConnect projects and files programmatically. - **End-to-End Backtesting**: `Compile` projects, `create backtests`, `read detailed results`, and analyze `charts`, `orders`, and `insights`. - **Live Trading Management**: `Deploy`, `monitor`, `liquidate`, and `control` live algorithms with comprehensive …
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