QuantConnect
Integrates with QuantConnect's algorithmic trading platform to enable complete trading algorithm development lifecycle including p
QuantConnect MCP server that provides AI assistants with comprehensive access to the QuantConnect algorithmic trading platform through 40+ tools covering the complete development lifecycle. Built with Python using FastMCP and the QuantConnect API, it enables project management, file operations, compilation, backtesting, optimization, live trading deployment, and AI-powered code assistance including PEP8 conversion and error enhancement. The implementation includes robust testing with both Python and C# algorithm examples, Docker deployment support, and integration with organization workspaces for local file access. Designed for quantitative developers and AI agents building, testing, and deploying trading algorithms, it streamlines the entire workflow from initial algorithm development through live trading deployment without requiring direct API knowledge.
Source
Repository: https://github.com/quantconnect/mcp-server
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