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QuantConnect-mcp-server

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by mymanish9-code11

Overview

The QuantConnect MCP Server acts as a bridge, enabling AI agents like Claude and OpenAI o3 Pro to programmatically interact with the QuantConnect cloud platform for tasks such as updating projects, writing and backtesting trading strategies, and deploying algorithms to live trading.

Installation

Run Command
docker run -i --rm -e QUANTCONNECT_USER_ID="<your_user_id>" -e QUANTCONNECT_API_TOKEN="<your_api_token>" -e AGENT_NAME="MCP Server" --platform linux/amd64 --name quantconnect-mcp-server quantconnect/mcp-server

Environment Variables

  • QUANTCONNECT_USER_ID
  • QUANTCONNECT_API_TOKEN
  • AGENT_NAME
  • MCP_TRANSPORT

Security Notes

The server uses environment variables for sensitive API credentials (QUANTCONNECT_USER_ID, QUANTCONNECT_API_TOKEN), avoiding hardcoded secrets. All API communication is secured via HTTPS and custom basic authentication with SHA256 hashing. Pydantic models are used for input validation, reducing risks of malformed requests. `httpx.AsyncClient` is used with `raise_for_status()` for robust error handling. No `eval()` or similar dynamic code execution is observed. `webbrowser.open` is used for OAuth flows, which is a standard and generally safe practice for user authentication. The main risk relies on the security of the QuantConnect API itself and the trust in the provided Docker image.

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Stats

Interest Score0
Security Score9
Cost ClassMedium
Avg Tokens250
Stars0
Forks0
Last Update2025-11-28

Tags

QuantConnectAITradingAPIBacktesting