list_optimizations
Retrieve all optimization runs for a specific project to analyze performance improvements and parameter tuning results.
Instructions
List all optimizations for a project.
Args: project_id: ID of the project to list optimizations for
Returns: Dictionary containing list of optimizations
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| project_id | Yes |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Implementation Reference
- The async handler function decorated with @mcp.tool() that implements the list_optimizations tool. It lists optimizations for a given project_id by calling the QuantConnect API endpoint 'optimizations/list'.
@mcp.tool() async def list_optimizations( project_id: int ) -> Dict[str, Any]: """ List all optimizations for a project. Args: project_id: ID of the project to list optimizations for Returns: Dictionary containing list of optimizations """ auth = get_auth_instance() if auth is None: return { "status": "error", "error": "QuantConnect authentication not configured. Use configure_auth() first.", } try: # Prepare request data request_data = {"projectId": project_id} # Make API request response = await auth.make_authenticated_request( endpoint="optimizations/list", method="POST", json=request_data ) # Parse response if response.status_code == 200: data = response.json() if data.get("success", False): optimizations = data.get("optimizations", []) return { "status": "success", "project_id": project_id, "optimizations": optimizations, "total_optimizations": len(optimizations), "message": f"Successfully retrieved {len(optimizations)} optimizations for project {project_id}", } else: # API returned success=false errors = data.get("errors", ["Unknown error"]) return { "status": "error", "error": "Failed to list optimizations", "details": errors, "project_id": project_id, } elif response.status_code == 401: return { "status": "error", "error": "Authentication failed. Check your credentials and ensure they haven't expired.", } else: return { "status": "error", "error": f"API request failed with status {response.status_code}", "response_text": ( response.text[:500] if hasattr(response, "text") else "No response text" ), } except Exception as e: return { "status": "error", "error": f"Failed to list optimizations: {str(e)}", "project_id": project_id, } - quantconnect_mcp/main.py:52-52 (registration)The call to register_optimization_tools(mcp) in the main entry point, which registers the list_optimizations tool by defining it with @mcp.tool().
register_optimization_tools(mcp) - quantconnect_mcp/src/server.py:79-79 (registration)The call to register_optimization_tools(mcp) in the server module, which registers the list_optimizations tool.
register_optimization_tools(mcp)