"QuantConnect" matching MCP tools:

• authorize_connectionA

  QuantConnectB

  Authorize a live brokerage or data provider connection by completing the authentication flow in your browser. Must be logged into QuantConnect account.

  Apache 2.0

• search_quantconnectB

  QuantConnectB

  Search QuantConnect for algorithmic trading content by specifying language and criteria. Retrieve relevant forum posts, documentation, examples, and stubs to find solutions to your trading queries.

  Apache 2.0

• configure_quantconnect_authA

  QuantConnect MCP ServerB

  Set up API authentication for QuantConnect trading platform by providing user ID, API token, and optional organization ID to enable automated trading operations.

  Python

  MIT

• clear_quantconnect_authB

  QuantConnect MCP ServerB

  Remove authentication credentials for the QuantConnect trading platform to reset access or switch accounts.

  Python

  MIT

• validate_quantconnect_authB

  QuantConnect MCP ServerB

  Verify QuantConnect authentication configuration to ensure trading platform access and functionality.

  Python

  MIT

• test_quantconnect_apiB

  QuantConnect MCP ServerB

  Verify QuantConnect API connectivity and authentication status to ensure trading platform integration functions correctly.

  Python

  MIT

• compile_projectB

  QuantConnect MCP ServerB

  Compile QuantConnect trading algorithms to validate code and prepare for backtesting or live deployment.

  Python

  MIT

• update_file_nameB

  QuantConnect MCP ServerB

  Change file names within QuantConnect projects to organize trading strategies and research files for better project management.

  Python

  MIT

• delete_projectC

  QuantConnect MCP ServerB

  Remove a project from QuantConnect by specifying its ID to manage your trading strategy workspace.

  Python

  MIT

• update_file_contentC

  QuantConnect MCP ServerB

  Modify file content in QuantConnect projects to update trading strategies, algorithms, or research documents.

  Python

  MIT

• delete_fileC

  QuantConnect MCP ServerB

  Remove files from QuantConnect projects to manage project organization and eliminate unnecessary content.

  Python

  MIT

• search_quantconnectC

  QuantConnect MCP ServerB

  Find QuantConnect content including documentation, examples, forum discussions, and code stubs to support algorithmic trading development.

  Apache 2.0

• read_mcp_server_versionA

  QuantConnectB

  Retrieve the version number of the active QuantConnect MCP server to verify compatibility or updates.

  Apache 2.0

• read_accountA

  QuantConnectB

  Retrieve the current status of your QuantConnect organization account to verify account details and ensure operational readiness.

  Apache 2.0

• read_fileA

  QuantConnectB

  Retrieve a file's contents from a QuantConnect project by specifying the project ID and file name. Omitting the file name returns all files in the project, enabling efficient code review or backup.

  Apache 2.0

• read_project_collaboratorsA

  QuantConnectB

  List all collaborators for a QuantConnect project. Provide the project ID to retrieve names of team members with access.

  Apache 2.0

• lock_project_with_collaboratorsA

  QuantConnectB

  Lock a project to prevent conflicts when collaborators or an LLM edit files through the MCP Server.

  Apache 2.0

• read_live_logsA

  QuantConnectB

  Retrieve live algorithm logs by specifying project ID, algorithm ID, and line range. Log snapshots update every 5 minutes.

  Apache 2.0

• list_backtestsA

  QuantConnectB

  Retrieve a list of all backtests for a given project. Optionally include statistics for each backtest by setting includeStatistics to true. Provide the project ID as input.

  Apache 2.0

• update_backtestA

  QuantConnectB

  Update the name or note of a backtest in a QuantConnect project by providing the project ID and backtest ID.

  Apache 2.0

• list_optimizationsA

  QuantConnectB

  Retrieve all optimization runs for a project by specifying its ID. Track and compare parameter tuning results to identify the best performing strategies.

  Apache 2.0