Skip to main content
Glama

create_project

Create a new trading strategy project in QuantConnect by specifying project name, programming language (C# or Python), and optional organization ID.

Instructions

Create a new project in your QuantConnect organization.

Args: name: Project name (must be unique within organization) language: Programming language - "C#" or "Py" (default: "Py") organization_id: Optional organization ID (uses default if not specified)

Returns: Dictionary containing project creation result with project details

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
languageNoPy
organization_idNo

Implementation Reference

  • The primary handler implementation for the 'create_project' tool. This async function is decorated with @mcp.tool() and handles authentication, input validation, API request to QuantConnect's projects/create endpoint, and response parsing.
    @mcp.tool()
    async def create_project(
        name: str, language: str = "Py", organization_id: Optional[str] = None
    ) -> Dict[str, Any]:
        """
        Create a new project in your QuantConnect organization.
    
        Args:
            name: Project name (must be unique within organization)
            language: Programming language - "C#" or "Py" (default: "Py")
            organization_id: Optional organization ID (uses default if not specified)
    
        Returns:
            Dictionary containing project creation result with project details
        """
        auth = get_auth_instance()
        if auth is None:
            return {
                "status": "error",
                "error": "QuantConnect authentication not configured. Use configure_auth() first.",
            }
    
        # Validate language parameter
        valid_languages = ["C#", "Py"]
        if language not in valid_languages:
            return {
                "status": "error",
                "error": f"Invalid language '{language}'. Must be one of: {valid_languages}",
            }
    
        try:
            # Prepare request data
            request_data = {"name": name, "language": language}
    
            # Add organization ID if provided, otherwise use the auth instance's default
            if organization_id:
                request_data["organizationId"] = organization_id
            elif auth.organization_id:
                request_data["organizationId"] = auth.organization_id
    
            # Make API request
            response = await auth.make_authenticated_request(
                endpoint="projects/create", method="POST", json=request_data
            )
    
            # Parse response
            if response.status_code == 200:
                data = response.json()
    
                if data.get("success", False):
                    # Extract project info from the response
                    projects = data.get("projects", [])
                    if projects:
                        # The newly created project should be in the list
                        created_project = None
                        for project in projects:
                            if (
                                project.get("name") == name
                                and project.get("language") == language
                            ):
                                created_project = project
                                break
    
                        if created_project:
                            return {
                                "status": "success",
                                "project": created_project,
                                "message": f"Successfully created project '{name}' with {language} language",
                            }
    
                    # Fallback response if project not found in list
                    return {
                        "status": "success",
                        "project": {
                            "name": name,
                            "language": language,
                            "organizationId": request_data.get("organizationId"),
                        },
                        "message": f"Successfully created project '{name}' with {language} language",
                        "note": "Full project details not available in response",
                    }
                else:
                    # API returned success=false
                    errors = data.get("errors", ["Unknown error"])
                    return {
                        "status": "error",
                        "error": "Project creation failed",
                        "details": errors,
                        "api_response": data,
                    }
    
            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 create project: {str(e)}",
                "project_name": name,
                "language": language,
            }
  • Type hints and docstring defining the input schema (name: str, language: str='Py', organization_id: Optional[str]) and output as Dict[str, Any] with status, project details, or error information.
    async def create_project(
        name: str, language: str = "Py", organization_id: Optional[str] = None
    ) -> Dict[str, Any]:
        """
        Create a new project in your QuantConnect organization.
    
        Args:
            name: Project name (must be unique within organization)
            language: Programming language - "C#" or "Py" (default: "Py")
            organization_id: Optional organization ID (uses default if not specified)
    
        Returns:
            Dictionary containing project creation result with project details
        """
  • The register_project_tools function where @mcp.tool() decorator registers the create_project handler with the FastMCP instance.
    def register_project_tools(mcp: FastMCP):
        """Register project management tools with the MCP server."""
    
        @mcp.tool()
  • Top-level registration during server startup: call to register_project_tools(mcp) which includes registration of create_project tool.
    safe_print("🔧 Registering QuantConnect tools...")
    register_auth_tools(mcp)
    register_project_tools(mcp)
    register_file_tools(mcp)
    register_backtest_tools(mcp)
    register_live_tools(mcp)
    register_optimization_tools(mcp)

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/taylorwilsdon/quantconnect-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server